Archive-name: ai-faq/neural-nets/part6 Last-modified: 1999-09-28 URL: ftp://ftp.sas.com/pub/neural/FAQ6.html Maintainer: firstname.lastname@example.org (Warren S. Sarle)
This is part 6 (of 7) of a monthly posting to the Usenet newsgroup comp.ai.neural-nets. See the part 1 of this posting for full information what it is all about.
Note for future submissions: Please restrict product descriptions to a maximum of 60 lines of 72 characters, in either plain-text format or, preferably, HTML format. If you include the standard header (name, company, address, etc.), you need not count the header in the 60 line maximum. Please confine your HTML to features that are supported by primitive browsers, especially NCSA Mosaic 2.0; avoid tables, for example--use <pre> instead. Try to make the descriptions objective, and avoid making implicit or explicit assertions about competing products, such as "Our product is the *only* one that does so-and-so." The FAQ maintainer reserves the right to remove excessive marketing hype and to edit submissions to conform to size requirements; if he is in a good mood, he may also correct your spelling and punctuation.
The following simulators are described below:
Name: BrainMaker, BrainMaker Pro Company: California Scientific Software Address: 10024 Newtown rd, Nevada City, CA, 95959 USA Phone: 800 284-8112, 530 478 9040 Fax: 530 478 9041 URL: http://www.calsci.com/ Basic capabilities: train backprop neural nets Operating system: Windows, Mac System requirements: Approx. price: $195, $795 BrainMaker Pro 3.7 (DOS/Windows) $795 Gennetic Training add-on $250 BrainMaker 3.7 (DOS/Windows/Mac) $195 Network Toolkit add-on $150 BrainMaker 3.7 Student version (quantity sales only, about $38 each) BrainMaker Pro CNAPS Accelerator Board $8145 Introduction To Neural Networks book $30 30 day money back guarantee, and unlimited free technical support. BrainMaker package includes: The book Introduction to Neural Networks BrainMaker Users Guide and reference manual 300 pages, fully indexed, with tutorials, and sample networks Netmaker Netmaker makes building and training Neural Networks easy, by importing and automatically creating BrainMaker's Neural Network files. Netmaker imports Lotus, Excel, dBase, and ASCII files. BrainMaker Full menu and dialog box interface, runs Backprop at 3,000,000 cps on a 300Mhz Pentium II; 570,000,000 cps on CNAPS accelerator. ---Features ("P" means is available in professional version only): MMX instruction set support for increased computation speed, Pull-down Menus, Dialog Boxes, Programmable Output Files, Editing in BrainMaker, Network Progress Display (P), Fact Annotation, supports many printers, NetPlotter, Graphics Built In (P), Dynamic Data Exchange (P), Binary Data Mode, Batch Use Mode (P), EMS and XMS Memory (P), Save Network Periodically, Fastest Algorithms, 512 Neurons per Layer (P: 32,000), up to 8 layers, Specify Parameters by Layer (P), Recurrence Networks (P), Prune Connections and Neurons (P), Add Hidden Neurons In Training, Custom Neuron Functions, Testing While Training, Stop training when...-function (P), Heavy Weights (P), Hypersonic Training, Sensitivity Analysis (P), Neuron Sensitivity (P), Global Network Analysis (P), Contour Analysis (P), Data Correlator (P), Error Statistics Report, Print or Edit Weight Matrices, Competitor (P), Run Time System (P), Chip Support for Intel, American Neurologics, Micro Devices, Genetic Training Option (P), NetMaker, NetChecker, Shuffle, Data Import from Lotus, dBASE, Excel, ASCII, binary, Finacial Data (P), Data Manipulation, Cyclic Analysis (P), User's Guide quick start booklet, Introduction to Neural Networks 324 pp book
Name: SAS Enterprise Miner Software In USA: In Europe: Company: SAS Institute, Inc. SAS Institute, European Office Address: SAS Campus Drive Neuenheimer Landstrasse 28-30 Cary, NC 27513 P.O.Box 10 53 40 USA D-69043 Heidelberg Germany Phone: (919) 677-8000 (49) 6221 4160 Fax: (919) 677-4444 (49) 6221 474 850 URL: http://www.sas.com/software/components/miner.html Email: email@example.com Operating systems: Windows NTTo find the addresses and telephone numbers of other SAS Institute offices, including those outside the USA and Europe, connect your web browser to http://www.sas.com/offices/intro.html.
Enterprise Miner is an integrated software product that provides an end-to-end business solution for data mining based on SEMMA (Sample, Explore, Modify, Model, Assess) methodology. Statistical tools include clustering, decision trees, linear and logistic regression, and neural networks. Data preparation tools include outlier detection, variable transformations, random sampling, and the partitioning of data sets (into training, test, and validation data sets). Advanced visualization tools enable you to quickly and easily examine large amounts of data in multidimensional histograms, and to graphically compare modeling results.
The neural network tool includes multilayer perceptrons, radial basis functions, statistical versions of counterpropagation and learning vector quantization, a variety of built-in activation and error functions, multiple hidden layers, direct input-output connections, categorical variables, standardization of inputs and targets, and multiple preliminary optimizations from random initial values to avoid local minima. Training is done by state-of-the-art numerical optimization algorithms instead of tedious backprop.
Name: NeuralWorks Professional II Plus (from NeuralWare) Company: NeuralWare Inc. Adress: RIDC Park West 202 Park West Drive Pittsburgh, PA 15275 Phone: (412) 787-8222 FAX: (412) 787-8220 Email: firstname.lastname@example.org URL: http://www.neuralware.com/ Distributor for Europe: Scientific Computers GmbH. Franzstr. 107, 52064 Aachen Germany Tel. (49) +241-26041 Fax. (49) +241-44983 Email. email@example.com Basic capabilities: supports over 30 different nets: backprop, art-1,kohonen, modular neural network, General regression, Fuzzy art-map, probabilistic nets, self-organizing map, lvq, boltmann, bsb, spr, etc... Extendable with optional package. ExplainNet, Flashcode (compiles net in .c code for runtime), user-defined io in c possible. ExplainNet (to eliminate extra inputs), pruning, savebest,graph.instruments like correlation, hinton diagrams, rms error graphs etc.. Operating system : PC,Sun,IBM RS6000,Apple Macintosh,SGI,Dec,HP. System requirements: varies. PC:2MB extended memory+6MB Harddisk space. Uses windows compatible memory driver (extended). Uses extended memory. Approx. price : call (depends on platform) Comments : award winning documentation, one of the market leaders in NN software.
Contact: The MathWorks, Inc. Phone: 508-653-1415 24 Prime Park Way FAX: 508-653-2997 Natick, MA 01760 email: firstname.lastname@example.orgThe Neural Network Toolbox is a powerful collection of MATLAB functions for the design, training, and simulation of neural networks. It supports a wide range of network architectures with an unlimited number of processing elements and interconnections (up to operating system constraints). Supported architectures and training methods include: supervised training of feedforward networks using the perceptron learning rule, Widrow-Hoff rule, several variations on backpropagation (including the fast Levenberg-Marquardt algorithm), and radial basis networks; supervised training of recurrent Elman networks; unsupervised training of associative networks including competitive and feature map layers; Kohonen networks, self-organizing maps, and learning vector quantization. The Neural Network Toolbox contains a textbook-quality Users' Guide, uses tutorials, reference materials and sample applications with code examples to explain the design and use of each network architecture and paradigm. The Toolbox is delivered as MATLAB M-files, enabling users to see the algorithms and implementations, as well as to make changes or create new functions to address a specific application.
(Comment from Nigel Dodd, email@example.com): there is also a free Neural Network Based System Identification Toolbox available from http://kalman.iau.dtu.dk/Projects/proj/nnsysid.html that contains many of the supervised training algorithms, some of which are duplicated in C code which should run faster. This free toolbox does regularisation and pruning which the costly one doesn't attempt (as of Nov 1995).
(Message from Eric A. Wan, firstname.lastname@example.org) FIR/TDNN Toolbox for MATLAB: Beta version of a toolbox for FIR (Finite Impulse Response) and TD (Time Delay) Neural Networks. For efficient stochastic implementation, algorithms are written as MEX compatible c-code which can be called as primitive functions from within MATLAB. Both source and compiled functions are available. URL: http://www.eeap.ogi.edu/~ericwan/fir.html
Contact: ARD Corporation, 9151 Rumsey Road, Columbia, MD 21045, USA email@example.com Easy to use neural network training package. A GUI implementation of backpropagation networks with five layers (32,000 nodes per layer). Features dynamic performance graphs, training with a validation set, and C/C++ source code generation. For Sun (Solaris 1.x & 2.x, $499), PC (Windows 3.x, $199) Mac (System 7.x, $199) Floating point coprocessor required, Educational Discount, Money Back Guarantee, Muliti User Discount See http://www.cs.umbc.edu/~zwa/Gator/Description.html Windows Demo on: nic.funet.fi /pub/msdos/windows/demo oak.oakland.edu /pub/msdos/neural_nets gatordem.zip pkzip 2.04g archive file gatordem.txt readme text file
Neuroforecaster 4.1a for Windows is priced at US$1199 per single user license. Please email us (firstname.lastname@example.org) for order form.
For more information and evaluation copy please visit
NeuroForecaster is a user-friendly ms-windows neural network program specifically designed for building sophisticated and powerful forecasting and decision-support systems (Time-Series Forecasting, Cross-Sectional Classification, Indicator Analysis)
530 Fifth Avenue; New York, NY 10036; USA; Tel.: 001-212-398-7955
Founders: Dr. Leon Cooper (having a Nobel Prize) and Dr. Charles Elbaum (Brown University). Neural Network Models: Adaptive shape and pattern recognition (Restricted Coulomb Energy - RCE) developed by NESTOR is one of the most powerfull Neural Network Model used in a later products. The basis for NESTOR products is the Nestor Learning System - NLS. Later are developed: Character Learning System - CLS and Image Learning System - ILS. Nestor Development System - NDS is a development tool in Standard C - a powerfull PC-Tool for simulation and development of Neural Networks. NLS is a multi-layer, feed forward system with low connectivity within each layer and no relaxation procedure used for determining an output response. This unique architecture allows the NLS to operate in real time without the need for special computers or custom hardware. NLS is composed of multiple neural networks, each specializing in a subset of information about the input patterns. The NLS integrates the responses of its several parallel networks to produce a system response. Minimized connectivity within each layer results in rapid training and efficient memory utilization- ideal for current VLSI technology. Intel has made such a chip - NE1000.
Name: NeuroShell Predictor, NeuroShell Classifier, NeuroShell Run-Time Server, NeuroShell Trader, NeuroShell Trader Professional, NeuroShell 2, GeneHunter, NeuroShell Engine Company: Ward Systems Group, Inc. Address: Executive Park West 5 Hillcrest Drive Frederick, MD 21702 USA Phone: 301 662-7950 FAX: 301 662-5666 Email: WardSystems@msn.com URL: http://www.wardsystems.comWard Systems Group Product Descriptions:
Contact us for a free demo diskette and Consumer's Guide to Neural Networks.
One can then design a scenario with walls, rocks, lights, fat (fuel) sources (that can be smelled) and many other such things. Robot tanks are then introduced into the Scenario and allowed interact or battle it out. The last one alive wins, or maybe one just watches the motion of the robots for fun. While the scenario is running it can be stopped, edited, zoom'd, and can track on any robot.
The entire program is mouse and graphicly based. It uses DOS and VGA and is written in TurboC++. There will also be the ability to download designs to another computer and source code will be available for the core neural simulator. This will allow one to design neural systems and download them to real robots. The design tools can handle three dimentional networks so will work with video camera inputs and such. Eventualy I expect to do a port to UNIX and multi thread the sign. I also expect to do a Mac port and maybe NT or OS/2
Copies of NuTank cost $50 each.
Contact: Richard Keene; Keene Educational Software
URL: http://www.xmission.com/~rkeene Email: email@example.com or firstname.lastname@example.org
NuTank shareware with the Save options disabled is available via anonymous ftp from the Internet, see the file /pub/incoming/nutank.readme on the host cher.media.mit.edu.
Name: Neuralyst Version 1.4; Company: Cheshire Engineering Corporation; Address: 650 Sierra Madre Villa, Suite 201, Pasedena CA 91107; Phone: 818-351-0209; Fax: 818-351-8645;Basic capabilities: training of backpropogation neural nets. Operating system: Windows or Macintosh running Microsoft Excel Spreadsheet. Neuralyst is an add-in package for Excel. Approx. price: $195 for windows or Mac.
Name: NeuFuz4 Company: National Semiconductor Corporation Address: 2900 Semiconductor Drive, Santa Clara, CA, 95052, or: Industriestrasse 10, D-8080 Fuerstenfeldbruck, Germany, or: Sumitomo Chemical Engineering Center, Bldg. 7F 1-7-1, Nakase, Mihama-Ku, Chiba-City, Ciba Prefecture 261, JAPAN, or: 15th Floor, Straight Block, Ocean Centre, 5 Canton Road, Tsim Sha Tsui East, Kowloon, Hong Kong, Phone: (800) 272-9959 (Americas), : 011-49-8141-103-0 Germany : 0l1-81-3-3299-7001 Japan : (852) 737-1600 Hong Kong Email: email@example.com (Neural net inquiries only) URL: http://www.commerce.net/directories/participants/ns/home.html Basic capabilities: Uses backpropagation techniques to initially select fuzzy rules and membership functions. The result is a fuzzy associative memory (FAM) which implements an approximation of the training data. Operating Systems: 486DX-25 or higher with math co-processor DOS 5.0 or higher with Windows 3.1, mouse, VGA or better, minimum 4 MB RAM, and parallel port. Approx. price : depends on version - see below. Comments : Not for the serious Neural Network researcher, but good for a person who has little understanding of Neural Nets - and wants to keep it that way. The systems are aimed at low end controls applications in automotive, industrial, and appliance areas. NeuFuz is a neural-fuzzy technology which uses backpropagation techniques to initially select fuzzy rules and membership functions. Initial stages of design using NeuFuz technology are performed using training data and backpropagation. The result is a fuzzy associative memory (FAM) which implements an approximation of the training data. By implementing a FAM, rather than a multi-layer perceptron, the designer has a solution which can be understood and tuned to a particular application using Fuzzy Logic design techniques. There are several different versions, some with COP8 Code Generator (COP8 is National's family of 8-bit microcontrollers) and COP8 in-circuit emulator (debug module).
Please visit our home on the World Wide Web: www.partek.com
5988 Mid Rivers Mall Dr.
St. Charles, MO 63304
Name: NeuroSolutions v3.0 Company: NeuroDimension, Inc. Address: 1800 N. Main St., Suite D4 Gainesville FL, 32609 Phone: (800) 634-3327 or (352) 377-5144 FAX: (352) 377-9009 Email: firstname.lastname@example.org URL: http://www.nd.com/ Operating System: Windows 95, Windows NT Price: $195 - $1995 (educational discounts available)NeuroSolutions is a highly graphical neural network simulator for Windows 95/98 and Windows NT 4.0/5.0. This leading edge software combines a modular, icon-based network design interface with an implementation of advanced learning procedures, such as recurrent backpropagation and backpropagation through time. The result is a virtually unconstrained environment for designing neural networks for research or to solve real-world problems.
Download a free evaluation copy from http://www.nd.com/download/downnsv3.htm.
Vesta Services, Inc. 1001 Green Bay Rd, Suite 196 Winnetka, IL 60093 Phone: (708) 446-1655 E-Mail: VestaServ@aol.comTrial Version Available: ftp://oak.oakland.edu/SimTel/win3/neurlnet/qnetv2t.zip
Vesta Services announces Qnet for Windows Version 2.0. Qnet is an advanced neural network modeling system that is ideal for developing and implementing neural network solutions under Windows. The use of neural network technology has grown rapidly over the past few years and is being employed by an increasing number of disciplines to automate complex decision making and problem solving tasks. Qnet Version 2 is a powerful, 32-bit, neural network development system for Windows NT, Windows 95 and Windows 3.1/Win32s. In addition its development features, Qnet automates access and use of Qnet neural networks under Windows.
Qnet neural networks have been successfully deployed to provide solutions in finance, investing, marketing, science, engineering, medicine, manufacturing, visual recognition... Qnet's 32-bit architecture and high-speed training engine tackle problems of large scope and size. Qnet also makes accessing this advanced technology easy. Qnet's neural network setup dialogs guide users through the design process. Simple copy/paste procedures can be used to transfer training data from other applications directly to Qnet. Complete, interactive analysis is available during training. Graphs monitor all key training information. Statistical checks measure model quality. Automated testing is available for training optimization. To implement trained neural networks, Qnet offers a variety of choices. Qnet's built-in recall mode can process new cases through trained neural networks. Qnet also includes a utility to automate access and retrieval of solutions from other Windows applications. All popular Windows spreadsheet and database applications can be setup to retrieve Qnet solutions with the click of a button. Application developers are provided with DLL access to Qnet neural networks and for complete portability, ANSI C libraries are included to allow access from virtually any platform.
Qnet for Windows is being offered at an introductory price of $199. It is available immediately and may be purchased directly from Vesta Services. Vesta Services may be reached at (voice) (708) 446-1655; (FAX) (708) 446-1674; (e-mail) VestaServ@aol.com; (mail) 1001 Green Bay Rd, #196, Winnetka, IL 60093
NeuroLab is a block-diagram-based neural network library for Extend
simulation software (developed by Imagine That, Inc.). The library
aids the understanding, designing and simulating of neural network
systems. The library consists of more than 70 functional blocks for
artificial neural network implementation and many example models in
several professional fields.The package provides icon-based
functional blocks for easy implementation of simulation models.
Users click, drag and connect blocks to construct a neural network
and can specify network parameters--such as back propagation methods,
learning rates, initial weights, and biases--in the dialog boxes of
the functional blocks.
Users can modify blocks with the Extend model-simulation scripting language, ModL, and can include compiled program modules written in other languages using XCMD and XFCN (external command and external function) interfaces and DLL (dynamic linking library) for Windows. The package provides many kinds of output blocks to monitor neural network status in real time using color displays and animation and includes special blocks for control application fields. Educational blocks are also included for people who are just beginning to learn about neural networks and their applications.
The library features various types of neural networks --including Hopfield, competitive, recurrent, Boltzmann machine, single/multilayer feed-forward, perceptron, context, feature map, and counter-propagation-- and has several back-propagation options: momentum and normalized methods, adaptive learning rate, and accumulated learning.
The package runs on Macintosh II or higher (FPU
recommended) with system 6.0.7 or later and PC compatibles (486 or
higher recommended) with Windows 3.1 or later, and requires 4Mbytes
of RAM. Models are transferable between the two platforms. NeuroLab
v1.2 costs US$495 (US$999 bundled with Extend v3.1). Educational and
volume discounts are available.
A free demo can be downloaded by ftp://ftp.mikuni.com/pub/neurolab or http://www.mikuni.com/. Orders, questions or suggestions can be sent by e-mail to email@example.com.
Names: havBpNet++ havFmNet++ havBpNet:J Company: hav.Software P.O. Box 354 Richmond, Tx. 77406-0354 - USA Phone: (281) 341-5035 Email: firstname.lastname@example.org Web: http://www.hav.com/
Supports all standard network parameters (learning-rate, momentum, Cascade- coefficient, weight-decay, batch training, etc.). Includes 5 activation-functions (Linear, Logistic-sigmoid, Hyperbolic-tangent, Sin and Hermite) and 3 error-functions (e^2, e^3, e^4). Also included is a special scaling utility for data with large dynamic range.
Several data-handling classes are also included. These classes, while not required, may be used to provide convenient containers for training and consultation data. They also provide several normalization/de-normalization methods.
havBpNet++ is delivered as fully documented source + 200 pg User/Developer Manual. Includes a special DLL version. Includes several example trainers and consulters with data sets. Also included is a fully functioning copy of the havBpETT demo (with network-save enabled).
NOTE: a freeware version (Save disabled) of the havBpETT demo may be downloaded from the hav.Software home-page: http://www.neosoft.com/~hav or by anonymous ftp from ftp://ftp.neosoft.com/pub/users/h/hav/havBpETT/demo2.exe.
Platforms: Tested platforms include - PC (DOS, Windows-3.1, NT, Unix), HP (HPux), SUN (Sun/OS), IBM (AIX), SGI (Irix). Source and Network-save files portable across platforms. Licensing: havBpNet++ is licensed by number of developers. A license may be used to support development on any number and types of cpu's. No Royalties or other fees (except for OEM/Reseller) Price: Individual $50.00 - one developer Site $500.00 - multiple developers - one location Corporate $1000.00 - multiple developers and locations OEM/Reseller quoted individually (by American Express, bank draft and approved company PO) Media: 3.5-inch floppy - ascii format (except havBpETT which is in PC-exe format).
havFmNet++ may be used for both stand-alone and embedded network training and consultation applications. A simple Layer-based API, along with no restrictions on layer-size or number of layers, makes it easy to build single- layer nets or much more complex multiple-layer topologies. havFmNet++ is fully compatible with havBpNet++ which may be used for pre- and post- processing.
Supports all standard network parameters (learning-rate, momentum, neighborhood, conscience, batch, etc.). Uses On-Center-Off-Surround training controlled by a sombrero form of Kohonen's algorithm. Updates are controllable by three neighborhood related parameters: neighborhood-size, block-size and neighborhood-coefficient cutoff. Also included is a special scaling utility for data with large dynamic range.
Several data-handling classes are also included. These classes, while not required, may be used to provide convenient containers for training and consultation data. They also provide several normalization/de-normalization methods.
havFmNet++ is delivered as fully documented source plus 200 pg User/Developer Manual. Includes several example trainers and consulters with data sets.
Platforms: Tested platforms include - PC (DOS, Windows-3.1, NT, Unix), HP (HPux), SUN (Sun/OS), IBM (AIX), SGI (Irix). Source and Network-save files portable across platforms. Licensing: havFmNet++ is licensed by number of developers. A license may be used to support development on any number and types of cpu's. No Royalties or other fees (possible exception for OEM). Price: Individual $50.00 - one developer Site $500.00 - multiple developers - one location Corporate $1000.00 - multiple developers and locations OEM/Reseller quoted individually (by American Express, bank draft and approved company PO) Media: 3.5-inch floppy - ascii format
Supports all standard network parameters (learning-rate, momentum, Cascade-coefficient, weight-decay, batch training, error threshold, etc.). Includes 5 activation-functions (Linear, Logistic-sigmoid, Hyperbolic-tangent, Sin and Hermite) and 3 error-functions (e^2, e^3, e^4). Also included is a special scaling utility for data with large dynamic range.
Several data-handling classes are also included. These classes, while not required, may be used to provide convenient containers for training and consultation data. They also provide several normalization/de-normalization methods.
Platforms: Java Virtual Machines - 1.0 and later Licensing: No Royalties or other fees (except for OEM/Reseller) Price: Individual License is $55.00 Site, Corporate and OEM/Reseller also available Media: Electronic distribution only.
BioComp Systems, Inc. introduced version 1.0 of the NGO in January of 1995 and now proudly announces version 2.0. With version 2.0, the NGO is now equipped for predicting time-based information such as product sales, financial markets and instruments, process faults, etc., in addition to its current capabilities in functional modeling, classification, and diagnosis.
While the NGO embodies sophisticated genetic algorithm search and neural network modeling technology, it has a very easy to use GUI interface for Microsoft Windows. You don't have to know or understand the underlying technology to build highly effective financial models. On the other hand, if you like to work with the technology, the NGO is highly configurable to customize the NGO to your liking.
Key new features of the NGO include:
With version 2.0, the NGO is now available as a full 32 bit application for Windows '95 and Windows NT to take advantage of the 32 bit preemptive multitasking power of those platforms. A 16 bit version for Windows 3.1 is also available. Customized professional server based systems are also available for high volume automated model generation and prediction. Prices start at $195.
BioComp Systems, Inc. Overlake Business Center 2871 152nd Avenue N.E. Redmond, WA 98052, USA 1-800-716-6770 (US/Canada voice)=20 1-206-869-6770 (Local/Int'l voice) 1-206-869-6850 (Fax) http://www.bio-comp.com. email@example.com firstname.lastname@example.org
An ALN consists of linear functions with adaptable weights at the leaves of a tree of maximum and minimum operators. The tree grows automatically during training: a linear piece splits if its error is too high. The function computed by an ALN is piecewise linear and continuous, and can approximate any continuous function to any required accuracy. Statistics are reported on the fit of each linear piece to test data.
The DLE has been very successful in predicting electrical power loads in the Province of Alberta. The 24-hour ahead load for all of Alberta (using seven weather regions) was predicted using a single ALN. Visit http://www.dendronic.com/applications.htm to learn about other successful applications to ATM communication systems, walking prostheses for persons with incomplete spinal cord injury, and many other areas.
Operating Systems: Windows NT 4.0, 95 and higher.
Price: Prices for the SDK start at $3495 US for a single seat, and are negotiable for embedded learning systems. A runtime non-learning system can be distributed royalty-free.
The power of the DLE can be tried out using an interactive spreadsheet program, ALNBench. ALNBench is free for research, education and evaluation purposes. The program can be downloaded from http://www.dendronic.com/beta.htm (Please note the installation key given there!)
For further information please contact:
William W. Armstrong PhD, President Dendronic Decisions Limited 3624 - 108 Street, NW Edmonton, Alberta, Canada T6J 1B4 Email: email@example.com URL: http://www.dendronic.com/ Tel. +1 403 421 0800 (Note: The area code 403 changes to 780 after Jan. 25, 1999)
Platform: Windows 3.* Company: Universal Problem Solvers, Inc. WWW-Site (UPSO): http://pages.prodigy.com/FL/lizard/index.html or FTP-Site (FREE Demo only): ftp.coast.net, in Directory: SimTel/win3/neurlnet, File: tdl11-1.zip and tdl11-2.zip Cost of complete program: US$20 + (US$3 Shipping and Handling).The purpose of TDL is to provide users of neural networks with a specific platform to conduct pattern recognition tasks. The system allows for the fast creation of automatically constructed neural networks. There is no need to resort to manually creating neural networks and twiddling with learning parameters. TDL's Wizard can help you optimize pattern recognition accuracy. Besides allowing the application user to automatically construct neural network for a given pattern recognition task, the system supports trans-dimensional learning. Simply put, this allows one to learn various tasks within a single network, which otherwise differ in the number of input stimuli and output responses utilized for describing them. With TDL it is possible to incrementally learn various pattern recognition tasks within a single coherent neural network structure. Furthermore, TDL supports the use of semi-weighted neural networks, which represent a hybrid cross between standard weighted neural networks and weightless multi-level threshold units. Combining both can result in extremely compact network structures (i.e., reduction in connections and hidden units), and improve predictive accuracy on yet unseen patterns. Of course the user has the option to create networks which only use standard weighted neurons.
Name: NeuFrame, NeuroFuzzy, NeuDesk and NeuRun Company: NCS Address: Unit 3 Lulworth Business Centre Totton Southampton UK SO40 3WW Phone: +44 (0)1703 667775 Fax: +44 (0)1703 663730 Email: firstname.lastname@example.org URL: http://www.demon.co.uk/skylake/software.html
Name: OWL Neural Network Library (TM) Company: HyperLogic Corporation Address: PO Box 300010 Escondido, CA 92030 USA Phone: +1 619-746-2765 Fax: +1 619-746-4089 Email: email@example.com URL: http://www.hyperlogic.com/hlThe OWL Neural Network Library provides a set of popular networks in the form of a programming library for C or C++ software development. The library is designed to support engineering applications as well as academic research efforts.
A common programming interface allows consistent access to the various paradigms. The programming environment consists of functions for creating, deleting, training, running, saving, and restoring networks, accessing node states and weights, randomizing weights, reporting the complete network state in a printable ASCII form, and formatting detailed error message strings.
The library includes 20 neural network paradigms, and facilitates the construction of others by concatenation of simpler networks. Networks included are:
The object code version of OWL is provided on MS-DOS format diskettes with object libraries and makefiles for both Borland and Microsoft C. An included Windows DLL supports OWL development under Windows. The package also includes Owgraphics, a mouseless graphical user interface support library for DOS.
Both graphical and "stdio" example programs are included.
The Portable Source Code version of OWL compiles without change on many hosts, including VAX, UINX, and Transputer. The source code package includes the entire object-code package.
USA and Canada: (US) $295 object code, (US) $995 with source
Outside USA and Canada: (US) $350 object code, (US) $1050 with source
Shipping, taxes, duties, etc., are the responsibility of the customer.
Name: Neural Connection Company: SPSS Inc. Address: 444 N. Michigan Ave., Chicago, IL 60611 Phone: 1-800-543-2185 1-312-329-3500 (U.S. and Canada) Fax: 1-312-329-3668 (U.S. and Canada) Email: firstname.lastname@example.org URL: http://www.spss.com SPSS has offices worldwide. For inquiries outside the U.S. and Canada, please contact the U.S. office to locate the office nearest you. Operating system : Microsoft Windows 3.1 (runs in Windows 95) System requirements: 386 pc or better, 4 MB memory (8MB recommended), 4 MB free hard disk space, VGA or SVGA monitor, Mouse or other pointing device, Math coprocessor strongly recommended Price: $995, academic discounts available Description Neural Connection is a graphical neural network tool which uses an icon-based workspace for building models for prediction, classification, time series forecasting and data segmentation. It includes extensive data management capabilities so your data preparation is easily done right within Neural Connection. Several output tools give you the ability to explore your models thoroughly so you understand your results. Modeling and Forecasting tools * 3 neural network tools: Multi-Layer Perceptron, Radial Basis Function, Kohonen network * 3 statistical analysis tools: Multiple linear regression, Closest class means classifier, Principal component analysis Data Management tools * Filter tool: transformations, trimming, descriptive statistics, select/deselect variables for analysis, histograms * Time series window: single- or multi-step prediction, adjustable step size * Network combiner * Simulator * Split dataset: training, validation and test data * Handles missing values Output Options * Text output: writes ASCII and SPSS (.sav) files, actual values, probabilities, classification results table, network output * Graphical output: 3-D contour plot, rotation capabilties, WhatIf? tool includes interactive sensititivity plot, cross section, color contour plot * Time series plot Production Tools * Scripting language for batch jobs and interactive applications * Scripting language for building applications Documentation * User s guide includes tutorial, operations and algorithms * Guide to neural network applications Example Applications * Finance - predict account attrition * Marketing - customer segmentation * Medical - predict length of stay in hospital * Consulting - forecast construction needs of federal court systems * Utilities - predict number of service requests * Sales - forecast product demand and sales * Science - classify climate types
Name: Pattern Recognition Workbench Expo/PRO/PRO+
Company: Unica Technologies, Inc.
Address: 55 Old Bedford Rd., Lincoln, MA 01773 USA
Phone, Fax: (617) 259-5900, (617) 259-5901
Operating system: Windows 3.1, WFW 3.11, Windows 95, Windows NT (16- and 32-bit versions available)
System requirements: Intel 486+, 8+ MB memory, 5+ MB disk space
Approx. price: software starts at $995.00 (call for more info)
Solving Pattern Recognition Problems text book: $49.95
Comments: Pattern Recognition Workbench (PRW) is a comprehensive environment/tool for solving pattern recognition problems using neural network, machine learning, and traditional statistical technologies. With an intuitive, easy-to-use graphical interface, PRW has the flexibility to address many applications. With features such as automated model generation (via input feature selection and algorithm parameter searches), experiment management, and statistical validation, PRW provides all the necessary tools from formatting and preprocessing your data to setting up, running, and evaluating experiments, to deploying your solution. PRW's automated model generation capability can generate literally hundreds of models, selecting the best ones from a thorough search space, ultimately resulting in better solutions!
* Definition of a forecast equation : * Definition of the variable to forecast and explanatory variables. Automatic harmonisation of the domains and periodicities involved in the equation. * Choice of a neuronal model associated with the forecasting equation : * Automatic or manual definition of multi-layered architectures. Temporal models with loop-backs of intermediate layers. * Fine-tuning of a neuronal model by training * Training by gradient back-propagation. Automatic simplification of architectures. Definition of training objectives by adaptation of the optimisation criterion. Definition of model form constraints. Graphing of different error criteria. * Analysis of a neuronal model: * View of Hinton graph associated with each network layer. Connection weight editing. Calculation of sensitivity and elasticity of the variable to forecast, in relation to the explanatory variables. Calculation of the hidden series produced by the neural network. * Neural Network-Based Forecasting * Operational use of a neural network. * Series Analysis * Visualisation of a series curve. Editing of the series values. Smoothing (simple, double, Holt & Winters) Study of the predictability of a series (fractal dimension) Comparison of two series. Visualisation of X-Y graphs.
Name: Neural Bench. Company: Neural Bench Development. Address: 142717, Computer Technology Laboratory, VNIIGAZ, pos. Razvilka, Address: Leninsky rajon, Moskovskay oblast, Russia. Phone: 7 (095) 355-9191 Fax: 7 (095) 399-1677 Email: email@example.com URL: http://www.vniigaz.com/nb/ Basic capabilities: data processing, train, analysis, statistic, user interface, code generation, Java support... Operating system: Windows 3.x, Windows 95, Windows NT
Neural Bench package includes:
Tel: +44 191 388 5737. (8:00-22:00 GMT).
Name: DataEngine, DataEngine ADL, DataEngine V.i Company: MIT GmbH Address: Promenade 9 52076 Aachen Germany Phone: +49 2408 94580 Fax: +49 2408 94582 EMail: mailto:firstname.lastname@example.org URL: http://www.mitgmbh.de DataEngine is a software tool for data analysis implementing Fuzzy Rule Based Systems, Fuzzy Cluster Methods, Neural Networks, and Neural-Fuzzy Systems in combination with conventional methods of mathematics, statistics, and signal processing. DataEngine ADL enables you to integrate classifiers or controllers developed with DataEngine into your own software environment. It is offered as a DLL for MS/Windows or as a C++ library for various platforms and compilers. DataEngine V.i is an add-on tool for LabView (TM) that enables you to integrate Fuzzy Logic and Neural Networks into LabView through virtual instruments to build systems for data analysis as well as for Fuzzy Control tasks.
[Note from FAQ maintainer: While this product explores some of the prerequisites of consciousness in an interesting way, it does not deal with deeper philosophical issues such as qualia.]
Questions to: Don Tveter, email@example.com
Name: STATISTICA: Neural Networks version 4.0 Company: StatSoft, Inc. Address: 2300 E. 14th St. Tulsa, OK 74104 USA Phone: (918) 749-1119 Fax: (918) 749-2217 Email: firstname.lastname@example.org URL: http://www.statsoft.com/STATISTICA Neural Networks is a comprehensive application capable of designing a wide range of neural network architectures, employing both widely-used and highly-specialized training algorithms. STATISTICA Neural Networks was developed by StatSoft, Inc., the makers of STATISTICA software, and is available and supported through a world-wide network of StatSoft subsidiaries.
The current version STATISTICA Neural Networks 4.0 offers features such as sophisticated training algorithms, an Intelligent Problem Solver that walks the user step-by-step through the analysis, a Neuro-Genetic Input Selection facility, a large selection of supplementary graphs and statistics (e.g., ROC, Response Surfaces, Sensitivity Analysis, Regression and Classification statistics), complete support for API (Application Programming Interface), and the ability to interface with STATISTICA data files and graphs.
STATISTICA Neural Networks includes traditional learning algorithms, such as back propagation and sophisticated training algorithms such as Conjugate Gradient Descent and Levenberg-Marquardt iterative procedures. Typically, choosing the right architecture of a neural network is a difficult and time-consuming "trial and error" process, but STATISTICA Neural Networks specifically does this for the user. STATISTICA Neural Networks features an Intelligent Problem Solver that utilizes heuristics and sophisticated optimization strategies to determine the best network architecture and walks the user step-by-step through the analysis. The Intelligent Problem Solver compares different network types (including Linear, Radial Basis Function, Multilayer Perceptron, and Bayesian networks), determines the number of hidden units, and chooses the Smoothing factor for Radial Basis Function networks.
The process of obtaining the right input variables in exploratory data analysis -- typically the case when neural networks are used -- also is facilitated by STATISTICA Neural Networks. Neuro-Genetic Input Selection procedures aid in determining the input variables that should be used in training the network. It uses an optimization strategy to compare the possible combinations of input variables to determine which set is most effective. STATISTICA Neural Networks offers complete API support so advanced users (or designers of corporate "knowledge seeking" or "data mining" systems) may be able to integrate the advanced computational engines of the Neural Networks module into their custom applications.
STATISTICA Neural Networks can be used as a stand-alone application or can interface directly with STATISTICA. It reads and writes STATISTICA data files and graphs.
Name: Braincel Company: Promised Land Technologies Address: 195 Church Street 11th Floor New Haven, CT 06510 USA Phone: (800) 243-1806 (Outside USA: (203) 562-7335) Fax: (203) 624-0655 Email: email@example.com URL: http://www.promland.com/ also see http://www.jurikres.com/catalog/ms_bcel.htmBraincel is an add-in to Excel using a training method called backpercolation.
Name: DESIRE/NEUNET Company: G.A. and T.M. Korn Industrial Consultants Address: 7750 South Lakeshore Road, # 15 Chelan, WA 98816 USA Phone: (509) 687-3390 Email: firstname.lastname@example.org URL: http://members.aol.com/gatmkorn Price: $ 775 (PC) $ 2700 (SPARCstation) $ 1800 (SPARCstation/educational) Free educational versionDESIRE (Direct Executing SImulation in REal time) is a completely interactive system for dynamic-system simulation (up to 6,000 differential equations plus up to 20,000 difference equations in scalar or matrix form; 13 integration rules) for control, aerospace, and chemical engineering, physiological modeling, and ecology. Easy programming of multirun studies (statistics, optimization). Complex frequency-response plots, fast Fourier transforms, screen editor, connection to database program.
DESIRE/NEUNET adds interactive neural-network simulation (to 20,000 interconnections) and fuzzy logic. Simulates complete dynamic systems controlled by neural networks and/or fuzzy logic. Users can develop their own neural networks using an easily readable matrix notation, as in:
VECTOR layer2= tanh(W * layer1 + bias)Over 200 examples include:
SCREEN-EDITED PROGRAMS RUN IMMEDIATELY AT HIGH SPEED
Package includes 2 textbooks by G.A. Korn: "Neural Networks and Fuzzy-logic Control on Personal Computers and Workstations" (MIT Press, 1995), and "Interactive Dynamic-system Simulatiuon under Windows 95 and NT" (Gordon and Breach, 1998). Please see our Web site for complete tables of contents of books, screen shots, list of users: http://members.aol.com/gatmkorn
Complete educational versions of DESIRE/NEUNET for Windows 95 and NT can now be downloaded FREE as a .zip file which you un-zip to get an automatic INSTALLSHIELD installation program. The educational version is identical to our full industrial version except for smaller data areas (6 instead of 6000 differential equations, smaller neural networks). It will run most examples from both textbooks.
Name: BioNet Simulator Company: NCSB - Development Ltd. Address: 46 Moriah St., Haifa 34572, ISRAEL Phone: +972-4-8377449 Fax: +972-4-8361687 Email: email@example.com URL: http://www.ncsb-bionet.comBioNet Simulator in a Neural Networks Generator implementing innovative biological networks. The product provides a concept of brain-like Neural networks, incorporating many of the significant features of the brain. BioNet Simulator provides possibilities for designing large and complex nets: tens of thousands of cells and hundreds of thousands of connections. It offers a user friendly graphic interface, easy to use wizards and object oriented programming. Facilitates easy designing of large-scale networks, and requires no proficiency in advanced mathematics or programming. Ideal for brain-models simulations. Platforms: Windows 95, Windows NT.
Name: Viscovery SOMine Company: eudaptics software gmbh Address: Helferstorferstr. 5/8 A-1010 Vienna AUSTRIA Phone: (+43 1) 532 05 70 Fax: (+43 1) 532 05 70 -21 e-mail: firstname.lastname@example.org URL: http://www.eudaptics.co.at/ Operating System: Windows 95, Windows NT 4.0 Prices: $1495 (commercial), $695 (non-commercial, i.e. universities)Viscovery SOMine is a powerful and easy-to-use tool for exploratory data analysis and data mining. Employing an enhanced version of Self Organizing Maps it puts complex data into order based on its similarity. The resulting map can be used to identify and evaluate the features hidden in the data. The result is presented in a graphical way which allows the user to analyze non-linear relationships without requiring profound statistical knowledge. The system further supports full pre- and postprocessing, cluster search, association/recall, prediction, statistics, filtering, and animated system state monitoring. Through the implementation of techniques such as SOM scaling, the speed in creating maps is increased compared to the original SOM algorithm.
Download a free evaluation copy from http://www.eudaptics.co.at/demo.htm
Name: NeuNet Pro Company: CorMac Technologies Inc. Address: 34 North Cumberland Street Thunder Bay, ON P7A 4L4 Canada Phone: (807) 345-7114 Fax: (807) 345-7114 Email: email@example.com URL: http://www.cormactech.comNeuNet Pro is a complete neural network development system:
Name: NNetView Company: Neuronics Inc. Address: Technoparkstr. 1 CH-8005 Zurich Switzerland Phone: +41 1 445 16 40 Fax: +41 1 445 16 44 URL: http://www.neuronics.com" Operating systems: Windows 95/98/NT and on MacOS. Prices: 120 EUR for Simulator 310 EUR for Full version incl. camera- and serial interface 1260 EUR for Class licenceNNetView is a simulator for neural networks that allows you to connect the network directly to the video camera input as well as the input/output of the serial port of your PC. In addition, the network can include a free architecture of 2-dimensional layers with connections in all directions. The most interesting feature is that you can combine different standard network types (such as Backpropagation, Hebb, Reinforcement Learning, Kohonen or Hopfield networks). NNetView allows to learn images (such as faces or colored objects) online and to make robots and other machines adaptive.
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