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comp.ai.neural-nets FAQ, Part 6 of 7: Commercial software |
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Archive-name: ai-faq/neural-nets/part6
Last-modified: 2002-03-28
URL: ftp://ftp.sas.com/pub/neural/FAQ6.html
Maintainer: saswss@unx.sas.com (Warren S. Sarle)
The copyright for the description of each product is held by the producer or
distributor of the product or whoever it was who supplied the description
for the FAQ, who by submitting it for the FAQ gives permission for the
description to be reproduced as part of the FAQ in any of the ways specified
in part 1 of the FAQ.
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.
========== Questions ==========
********************************
Part 1: Introduction
Part 2: Learning
Part 3: Generalization
Part 4: Books, data, etc.
Part 5: Free software
Part 6: Commercial software
Commercial software packages for NN simulation?
Part 7: Hardware and miscellaneous
------------------------------------------------------------------------
Subject: Commercial software packages for NN
============================================
simulation?
===========
Since the FAQ maintainer works for a software company, he does not recommend
or evaluate software in the FAQ. The descriptions below are provided by the
developers or distributors of the software.
Note for future submissions: Please restrict product descriptions to a
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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:
1. BrainMaker
2. SAS Enterprise Miner Software
3. NeuralWorks
4. MATLAB Neural Network Toolbox
5. Propagator
6. NeuroForecaster
7. Products of NESTOR, Inc.
8. Ward Systems Group (NeuroShell, etc.)
9. Neuralyst
10. Cortex-Pro
11. Partek
12. NeuroSolutions
13. Qnet For Windows Version 2.0
14. NeuroLab, A Neural Network Library
15. hav.Software: havBpNet++, havFmNet++, havBpNet:J
16. IBM Neural Network Utility
17. NeuroGenetic Optimizer (NGO) Version 2.0
18. WAND
19. The Dendronic Learning Engine
20. TDL v. 1.1 (Trans-Dimensional Learning)
21. NeurOn-Line
22. Neuframe
23. OWL Neural Network Library (TM)
24. Neural Connection
25. Pattern Recognition Workbench Expo/PRO/PRO+
26. PREVia
27. Trajan 2.1 Neural Network Simulator
28. DataEngine
29. Machine Consciousness Toolbox
30. Professional Basis of AI Backprop
31. STATISTICA: Neural Networks
32. Braincel (Excel add-in)
33. DESIRE/NEUNET
34. Viscovery SOMine
35. NeuNet Pro
36. Neuronics
37. RG Software
38. Cobalt A.I. Code Builder - Neural Network Edition
39. NEURO MODEL and GenOpt
See also
http://www.emsl.pnl.gov:2080/proj/neuron/neural/systems/software.html
1. BrainMaker
+++++++++++++
Product: 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
2. SAS Enterprise Miner Software
++++++++++++++++++++++++++++++++
Product: SAS Enterprise Miner Solution
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/
To 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 methodology
(Sample, Explore, Modify, Model, Assess). 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 powerful numerical optimization algorithms
instead of tedious backprop.
3. NeuralWorks
++++++++++++++
Product: NeuralWorks Professional II Plus
NeuralWorks Predict
Company: NeuralWare
Adress: 230 East Main Street
Suite 200
Carnegie, PA 15106-2700
Phone: (412) 278-6280
FAX: (412) 278-6289
Email: sales@neuralware.com
URL: http://www.neuralware.com/
NeuralWorks Professional II/PLUS is a comprehensive neural network
development environment. Professional II/PLUS is available for UNIX,
Linux, and Windows operating systems on a variety of hardware platforms;
data and network files are fully interchangeable. The Professional
II/PLUS package contains comprehensive documentation that addresses the
entire neural network development and deployment process, including a
tutorial, a guide to neural computing, standard and advanced reference
manuals, and platform-specific installation and user guides.
NeuralWare's proprietary InstaNet facility allows quick generation of a
neural network based on any one of 28 standard neural network
architectures described in neural network literature. After a network is
created, all parameters associated with it can be directly modified to
more closely reflect the problem domain. Professional II/PLUS includes
advanced features such as performance measure-based methods to inhibit
over-fitting; automatic optimization of hidden layer size and the ability
to prune hidden units; and an Explain facility that indicates which
network inputs most influence network outputs.
NeuralWorks Predict is an integrated tool for rapidly creating and
deploying prediction and classification applications. Predict combines
neural network technology with genetic algorithms, statistics, and fuzzy
logic to automatically find solutions for a wide range of problems.
Predict incorporates years of modeling and analysis experience gained
from working with customers faced with a wide variety of analysis and
interpretation problems.
Predict requires no prior knowledge of neural networks. With only minimal
user involvement it addresses the issues associated with building robust
models from available empirical data. Predict analyzes input data to
identify appropriate transforms, partitions the input data into training
and test sets, selects relevant input variables, and then constructs,
trains, and optimizes a neural network tailored to the problem. For
advanced users, Predict also offers direct access to all key training and
network parameters.
4. MATLAB Neural Network Toolbox
++++++++++++++++++++++++++++++++
The Mathworks Inc.
3 Apple Hill Drive
Natck, MA 01760
Phone: 508-647-7000
Fax: 508-647-7001
URL: http://www.mathworks.com/products/neuralnet/
The 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.
5. Propagator
+++++++++++++
Contact: ARD Corporation,
9151 Rumsey Road, Columbia, MD 21045, USA
propagator@ard.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
6. NeuroForecaster & VisuaData
++++++++++++++++++++++++++++++
Product: NeuroForecaster(TM)/Genetica 4.1a
Contact: Accel Infotech (S) Pte Ltd
648 Geylang Road
Republic of Singapore 1438
Phone: +65-7446863, 3366997
Fax: +65-3362833
URL: http://web.singnet.com.sg/~midaz/
Neuroforecaster 4.1a for Windows is priced at US$1199 per single user
license. Please email accel@technet.sg for order form.
NeuroForecaster is a user-friendly ms-windows neural network program
specifically designed for building sophisticated and powerful forecasting
and decision-support systems (Time-Series Forecasting, Cross-Sectional
Classification, Indicator Analysis)
Features:
o GENETICA Net Builder Option for automatic network optimization
o 12 Neuro-Fuzzy Network Models
o Multitasking & Background Training Mode
o Unlimited Network Capacity
o Rescaled Range Analysis & Hurst Exponent to Unveil Hidden Market
o Cycles & Check for Predictability
o Correlation Analysis to Compute Correlation Factors to Analyze the
o Significance of Indicators
o Weight Histogram to Monitor the Progress of Learning
o Accumulated Error Analysis to Analyze the Strength of Input Indicators
The following example applications are included in the package:
o Credit Rating - for generating the credit rating of bank loan
applications.
o Stock market 6 monthly returns forecast
o Stock selection based on company ratios
o US$ to Deutschmark exchange rate forecast
o US$ to Yen exchange rate forecast
o US$ to SGD exchange rate forecast
o Property price valuation
o Chaos - Prediction of Mackey-Glass chaotic time series
o SineWave - For demonstrating the power of Rescaled Range Analysis and
significance of window size
Techniques Implemented:
o GENETICA Net Builder Option - network creation & optimization based on
Darwinian evolution theory
o Backprop Neural Networks - the most widely-used training algorithm
o Fastprop Neural Networks - speeds up training of large problems
o Radial Basis Function Networks - best for pattern classification
problems
o Neuro-Fuzzy Network
o Rescaled Range Analysis - computes Hurst exponents to unveil hidden
cycles & check for predictability
o Correlation Analysis - to identify significant input indicators
o
Companion Software - VisuaData for Windows A user-friendly data
management program designed for intelligent technical analysis. It reads
-------------------------------------------------------------------------
MetaStock, CSI, Computrac and various ASCII data file formats
directly, generates over 100 popular and new technical indicators and
buy/sell signals.
7. Products of NESTOR, Inc.
+++++++++++++++++++++++++++
530 Fifth Avenue;
New York, NY 10036; USA;
Tel.: 001-212-398-7955
URL: http://asweb.artsci.uc.edu/classics/nestor/nestor.html
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.
8. Ward Systems Group (NeuroShell, etc.)
++++++++++++++++++++++++++++++++++++++++
Product: 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.com
Ward Systems Group Product Descriptions:
o NeuroShell. Predictor - This product is used for forecasting and
estimating numeric amounts such as sales, prices, workload, level,
cost, scores, speed, capacity, etc. It contains two of our newest
algorithms (neural and genetic) with no parameters for you to have to
set. These are our most powerful networks. Reads and writes text
files.
o NeuroShell. Classifier - The NeuroShell Classifier solves
classification and categorization problems based on patterns learned
from historical data. The Classifier produces outputs that are the
probabilities of the input pattern belonging to each of several
categories. Examples of categories include {acidic, neutral,
alkaline}, {buy, sell, hold}, and {cancer, benign}. Like the
NeuroShell Predictor, it has the latest neural and genetic classifiers
with no parameters to set. These are our most powerful networks. It
also reads and writes text files.
o NeuroShell. Run-Time Server - The NeuroShell Run-Time Server allows
you to distribute networks created with the NeuroShell Predictor or
NeuroShell Classifier from either a simple interface, from your own
computer programs, or from Excel spreadsheets.
o NeuroShell Trader. - This is the complete product for anyone trading
stocks, bonds, futures, commodities, currencies, derivatives, etc. It
works the way you think and work: for example, it reads open, high,
low, close type price streams. It contains charting, indicators, the
latest neural nets, trading simulations, data downloading, and walk
forward testing, all seamlessly working together to make predictions
for you. The NeuroShell Trader contains our most powerful network
type.
o NeuroShell Trader. Professional - The Professional incorporates the
original Trader along with the ability to optimize systems with a
genetic algorithm even if they don't include neural nets! For example,
you can enter a traditional trading strategy (using crossovers and
breakouts) and then find optimal parameters for those crossovers and
breakouts. You can also use the optimizer to remove useless rules in
your trading strategy.
o NeuroShell. 2 - This is our classic general purpose system highly
suited to students and professors who are most comfortable with
traditional neural nets (not recommended for problem solving in a
business or scientific environment). It contains 16 traditional neural
network paradigms (algorithms) and combines ease of use and lots of
control over how the networks are trained. Parameter defaults make it
easy for you to get started, but provide generous flexibility and
control later for experimentation. Networks can either predict or
classify. Uses spreadsheet files, but can import other types. Runtime
facilities include a source code generator, and there are several
options for processing many nets, 3D graphics (response surfaces), and
financial or time series indicators. It does not contain our newest
network types that are in the NeuroShell Predictor, the NeuroShell
Classifier and the NeuroShell Trader.
o GeneHunter. - This is a genetic algorithm product designed for
optimizations like finding the best schedules, financial indicators,
mixes, model variables, locations, parameter settings, portfolios,
etc. More powerful than traditional optimization techniques, it
includes both an Excel spreadsheet add-in and a programmer's tool kit.
o NeuroShell. Engine - This is an Active X control that contains the
neural and genetic training methods that we have used ourselves in the
NeuroShell Predictor, the NeuroShell Classifier, and the NeuroShell
Trader. They are available to be integrated into your own computer
programs for both training and firing neural networks. The NeuroShell
Engine is only for the most serious neural network users, and only
those who are programmers or have programmers on staff.
Contact us for a free demo diskette and Consumer's Guide to Neural
Networks.
9. Neuralyst
++++++++++++
Product: 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;
URL: http://www.cheshireeng.com/Neuralyst/
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.
10. Cortex-Pro
++++++++++++++
Cortex-Pro information is on WWW at:
http://www.reiss.demon.co.uk/webctx/intro.html.
You can download a working demo from there.
Contact: Michael Reiss ( http://www.mth.kcl.ac.uk/~mreiss/mick.html)
email: .
11. Partek
++++++++++
Partek is a young, growing company dedicated to providing our customers
with the best software and services for data analysis and modeling. We do
this by providing a combination of statistical analysis and modeling
techniques and modern tools such as neural networks, fuzzy logic, genetic
algorithms, and data visualization. These powerful analytical tools are
delivered with high quality, state of the art software.
Please visit our home on the World Wide Web: www.partek.com
Partek Incorporated
5988 Mid Rivers Mall Dr.
St. Charles, MO 63304
voice: 314-926-2329
fax: 314-441-6881
email: info@partek.com
http://www.partek.com/
12. NeuroSolutions v3.0
+++++++++++++++++++++++
Product: NeuroSolutions
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: info@nd.com
URL: http://www.nd.com/
Operating System: Windows 95/98/Me/NT/2000
Price: $195 - $1995 (educational discounts available)
NeuroSolutions is a highly graphical neural network development tool for
Windows 95/98/Me/NT/2000. This leading edge software combines a modular,
icon-based network design interface with an implementation of advanced
learning procedures, such as recurrent backpropagation, backpropagation
through time and genetic optimization. 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.htm.
Topologies
----------
o Multilayer perceptrons (MLPs)
o Generalized Feedforward networks
o Modular networks
o Jordan-Elman networks
o Self-Organizing Feature Map (SOFM) networks
o Radial Basis Function (RBF) networks
o Time Delay Neural Networks (TDNN)
o Time-Lag Recurrent Networks (TLRN)
o Recurrent Networks (TLRN)
o General Regression Networks (GRNN)
o Probabilistic Networks (PNN)
o Neuro-Fuzzy Networks
o Support Vector Machines (SVM)
o User-defined network topologies
Learning Paradigms
------------------
o Backpropagation
o Recurrent Backpropagation
o Backpropagation through Time
o Conjugate Gradient Learning
o Unsupervised Learning
o Hebbian
o Oja's
o Sanger's
o Competitive
o Kohonen
Advanced Features
-----------------
o ANSI C++ Source Code Generation
o Customized Components through DLLs
o Genetic Optimization
o Microsoft Excel Add-in -- NeuroSolutions for Excel
o Visual Data Selection
o Data Preprocessing and Analysis
o Batch Training and Parameter Optimization
o Sensitivity Analysis
o Automated Report Generation
o DLL Generation Utility -- The Custom Solution Wizard
o Encapsulate any supervised NeuroSolutions NN into a Dynamic Link
Library (DLL)
o Use the DLL to embed a NN into your own Visual Basic, Microsoft
Excel, Microsoft Access or Visual C++ application
o Support for both Recall and Learning networks available
o Simple protocol for sending the input data and retrieving the
network response
o Comprehensive Macro Language
o Fully accessible from any OLE-compliant application, such as:
o Visual Basic
o Microsoft Excel
o Microsoft Access
13. Qnet For Windows Version 2.0
++++++++++++++++++++++++++++++++
Vesta Services, Inc.
1001 Green Bay Rd, Suite 196
Winnetka, IL 60093
Phone: (708) 446-1655
E-Mail: VestaServ@aol.com
Trial Version Available: http://www.qnetv2k.com/
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
14. NeuroLab, A Neural Network Library
++++++++++++++++++++++++++++++++++++++
Contact: Mikuni Berkeley R & D Corporation; 4000 Lakeside Dr.; Richmond,
CA
Tel: 510-222-9880; Fax: 510-222-9884; e-mail: neurolab-info@mikuni.com
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
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