- nn/xnn
Name:
nn/xnn
Company:
Neureka ANS
Address:
Klaus Hansens vei 31B, 5037 Solheimsviken, NORWAY
Phone:
+47-55544163 / +47-55201548
Email:
arnemo@eik.ii.uib.no
Basic capabilities:
-
Neural network development tool. nn is a language for specification of neural network
simulators. Produces C-code and executables for the specified models, therefore
ideal for application development. xnn is a graphical front-end to nn and the simulation
code produced by nn. Gives graphical representations in a number of formats of any
variables during simulation run-time. Comes with a number of pre-implemented models,
including: Backprop (several variants), Self Organizing Maps, LVQ1, LVQ2, Radial
Basis Function Networks, Generalized Regression Neural Networks, Jordan nets, Elman
nets, Hopfield, etc.
Operating system:
nn: UNIX or MS-DOS, xnn: UNIX/X-windows
System requirements:
10 Mb HD, 2 Mb RAM
Approx. price:
USD 2000,-
- BrainMaker
Name:
BrainMaker, BrainMaker Pro
Company:
California Scientific Software
Address:
10024 Newtown rd, Nevada City, CA, 95959 USA
Phone,Fax:
916 478 9040, 916 478 9041
Email:
calsci!mittmann@gvgpsa.gvg.tek.com (flakey connection)
Basic capabilities:
train backprop neural nets
Operating system:
DOS, Windows, Mac
System requirements:
Uses XMS or EMS for large models(PCs only): Pro
version
Approx. price:
$195, $795
- BrainMaker Pro 3.0 (DOS/Windows) $795
Gennetic Training add-on $250
- BrainMaker 3.0 (DOS/Windows/Mac) $195
Network Toolkit add-on $150
- BrainMaker 2.5 Student version (quantity sales only, about $38 each)
- BrainMaker Pro C30 Accelerator Board
w/ 5Mb memory $9750
w/32Mb memory $13,000
- Intel iNNTS NN Development System $11,800
Intel EMB Multi-Chip Board $9750
Intel 80170 chip set $940
- Introduction To Neural Networks book $30
All Software has a 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 Neural 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 750,000 cps on a 33Mhz 486.
Feature BrainMaker Professional Benefit
User Interface
Pull-down Menus, Dialog Boxes { { easy to learn and use; all parameters
saved in a file you can edit.
Programmable Output Files { { exports data in your format to
spreadsheets, graphics packages, etc.
Editing in BrainMaker { { quickly edit data, display, network
connections, and more.
Network Progress Display { monitors training with a simple
graphic display.
Fact Annotation { { attaches your comments to examples
for display and printing.
Printer Support { { HP LaserJet, DeskJet, InkJet,
IBM Proprinter, Epson, etc.
NetPlotter T { see how the input correlates with
your output.
Graphics Built In { shows trends, cycles, network
responses, statistics, etc.;
see it on screen, plotter, or printer.
Dynamic Data Exchange { puts your network in other windows
programs
Performance
Binary Mode T { uses binary files for greater speed.
Batch Mode { add networks to your existing
programs, train while you're away.
EMS and XMS Memory { up to 8192 independent variables.
Save Network Periodically { { saves results to a file in case of
power failure.
Fastest Algorithms { { 750,000 connections-per-second
(486/50).
Neurons per Layer 512 32,000 more inputs: model complex data
with ease.
Number of Layers 8 8 extra hidden layers can help tackle
bigger problems.
Training
Specify Parameters by Layer { fine-tunes performance inside the netw
Recurrence Networks { Puts feedback in your network,
automates historical input.
Prune Connections and Neurons { improves accuracy by trimming away
excess "fat".
Add Hidden Neurons In Training { { finds best size network quickly;
fully automated with Professional.
Custom Neuron Functions { { optimizes training to suit any need.
Testing While Training { { trains for best performance on new
data.
Stop training when... { lets you decide when network has
learned well.
Heavy Weights { helps networks train.
Hypersonic Training T { trains faster with this proprietary
algorithm.
Analysis, Advanced Functions
Sensitivity Analysis { shows you which inputs determined
your results.
Neuron Sensitivity { shows you the total effect of one
input on your results.
Global Network Analysis { shows how the networks reacts to
your inputs overall
Contour Analysis { shows peaks and valleys of the output
when two inputs change
Data Correlator { finds important data and optimum
time delays.
Error Statistics Report { { check your network error rate during
training.
Print or Edit Weight Matrices { { examine, customize network internals.
Competitor { ranks horses, teams, stocks, etc.
in finish order.
Run Time System { C source code - make programs with
your network for resale.
Chip Support { { Intel, American Neurologics,
Micro Devices.
Genetic Training Option G trains variations of your design
and shows you which was the best.
Network Data Management Functions
NetMaker { { spreadsheet-like data manipulation
and network file creation.
NetChecker { { checks your files for errors and
inconsistencies.
Shuffle { { mixes up the order of examples for
better training.
Binary T { converts files to binary for quicker
training.
MinMax { { finds min / max / standard deviation
of data for fine-tuned results.
Data Importation { { reads data from Lotus, dBASE,
Excel, ASCII, binary.
Finacial Data { reads MetaStock, and Computrack
Data Manipulation { { finds indicators, oscillators,
running averages, etc.
Cyclic Analysis { checks data for periodic or cyclic
behavior.
Data Types { { uses symbolic, text, picture,
and numeric data.
Documentation & User Support
User's Guide { { an application development guide
and quick-start booklet.
Introduction to Neural Networks { { 324 pp, gets you up to date in this
exciting field.
- SAS Software/ Neural Net add-on
Name:
SAS Software
Company:
SAS Institute, Inc.
Address:
SAS Campus Drive, Cary, NC 27513, USA
Phone,Fax:
(919) 677-8000
Email:
saswss@unx.sas.com (Neural net inquiries only)
Basic capabilities:
-
Feedforward nets with numerous training methods and loss functions, plus statistical
analogs of counterpropagation and various unsupervised architectures
Operating system:
Lots
System requirements:
Lots Uses XMS or EMS for large models(PCs only):
Runs under Windows, OS/2
Approx. price:
Free neural net software, but you have to license SAS/Base
software and preferably the SAS/OR, SAS/ETS, and/or SAS/STAT products.
Comments:
Oriented toward data analysis and statistical applications
- NeuralWorks
Name:
NeuralWorks Professional II Plus (from NeuralWare)
Company:
NeuralWare Inc.
Adress:
Pittsburgh, PA 15276-9910
Phone:
(412) 787-8222
FAX:
(412) 787-8220
- Distributor for Europe:
-
Scientific Computers GmbH
Franzstr. 107, 52064 Aachen
Germany
Tel. (49) +241-26041
Fax. (49) +241-44983
Email. info@scientific.de
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.
- MATLAB Neural Network Toolbox (for use with Matlab 4.x)
Contact: The MathWorks, Inc., 24 Prime Park Way,Natick, MA 01760 Phone: 508-653-1415,
FAX: 508-653-2997, email: info@mathworks.com
(Comment by Richard Andrew Miles Outerbridge, RAMO@UVPHYS.PHYS.UVIC.CA) Matlab is
spreading like hotcakes (and the educational discounts are very impressive). The
newest release of Matlab (4.0) answers the question "if you could only program in
one language what would it be?". The neural network toolkit is worth getting for
the manual alone. Matlab is available with lots of other toolkits (signal processing,
optimization, etc.) but I don't use them much - the main package is more than enough.
The nice thing about the Matlab approach is that you can easily interface the neural
network stuff with anything else you are doing.