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comp.ai.neural-nets FAQ, Part 6 of 7: Commercial software |
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the model type used, i.e., neural networks. Previa offers a wide range of
model types, hence allowing the user to create and test several
forecasting systems, and to assess each of them with the same set of
criteria. In this way, Previa offers a working environment where the user
can rationalise his or her decision process. The hardware requirements of
Previa are: an IBM-compatible PC with Windows 3.1 (c) or Windows95. For
the best performance, an Intel 486DX processor is recommended. Previa is
delivered as a shrink-wrapped application software, as well as a dynamic
link library (DLL) for the development of custom software. The DLL
contains all the necessary functions and data structures to manipulate
time series, neural networks, and associated algorithms. The DLL can also
be used to develop applications with Visual BasicTM. A partial list of
features:
* 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.
27. Trajan 2.0 Neural Network Simulator
+++++++++++++++++++++++++++++++++++++++
Trajan Software Ltd,
Trajan House,
68 Lesbury Close,
Chester-le-Street,
Co. Durham,
DH2 3SR,
United Kingdom.
WWW: http://www.trajan-software.demon.co.uk
Email: andrew@trajan-software.demon.co.uk
Tel: +44 191 388 5737. (8:00-22:00 GMT).
Features.
=========
Trajan 2.1 Professional is a Windows-based Neural Network includes
support for a wide range of Neural Network types, training algorithms,
and graphical and statistical feedback on Neural Network performance.
Features include:
1. Full 32-bit power. Trajan 2.1 is available in a 32-bit version for
use on Windows 95 and Windows NT platforms, supporting
virtually-unlimited network sizes (available memory is a constraint).
A 16-bit version (network size limited to 8,192 units per layer) is
also available for use on Windows 3.1.
2. Network Architectures. Includes Support for Multilayer Perceptrons,
Kohonen networks, Radial Basis Functions, Linear models, Probabilistic
and Generalised Regression Neural Networks. Training algorithms
include the very fast, modern Levenburg-Marquardt and Conjugate
Gradient Descent algorithms, in addition to Back Propagation (with
time-dependent learning rate and momentum, shuffling and additive
noise), Quick Propagation and Delta-Bar-Delta for Multilayer
Perceptrons; K-Means, K-Nearest Neighbour and Pseudo-Inverse
techniques for Radial Basis Function networks, Principal Components
Analysis and specialised algorithms for Automatic Network Design and
Neuro-Genetic Input Selection. Error plotting, automatic cross
verification and a variety of stopping conditions are also included.
3. Custom Architectures. Trajan allows you to select special
Activation functions and Error functions; for example, to use Softmax
and Cross-entropy for Probability Estimation, or City-Block Error
function for reduced outlier-sensitivity. There are also facilities to
"splice" networks together and to delete layers from networks,
allowing you to rapidly create pre- and post-processing networks,
including Autoassociative Dimensionality Reduction networks.
4. Simple User Interface. Trajan's carefully-designed interface gives
you access to large amounts of information using Graphs, Bar Charts
and Datasheets. Trajan automatically calculates overall statistics on
the performance of networks in both classification and regression.
Virtually all information can be transferred via the Clipboard to
other Windows applications such as Spreadsheets.
5. Pre- and Post-processing. Trajan 2.1 supports a range of pre- and
post-processing options, including Minimax scaling, Winner-takes-all,
Unit-Sum and Unit-Length vector. Trajan also assigns classifications
based on user-specified Accept and Reject thresholds.
6. Embedded Use. The Trajan Dynamic Link Library gives full
programmatic access to Trajan's facilities, including network
creation, editing and training. Trajan 2.1 come complete with sample
applications written in 'C' and Visual Basic.
There is also a demonstration version of the Software available; please
download this to check whether Trajan 2.1 fulfils your needs.
28. DataEngine
++++++++++++++
Product: 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:info@mitgmbh.de
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.
29. Machine Consciousness Toolbox
+++++++++++++++++++++++++++++++++
Can a machine help you understand the mechanisms of consciousness?
A visual, interactive application for investigating artificial
consciousness as inspired by the biological brain.
Free, fully functional, introductory version with user manual and
tutorials to download.
Based on the MAGNUS neural architecture developed at Imperial College,
London, UK.
Developed by Novel Technical Solutions.
Full information and download from: http://www.sonnet.co.uk/nts
[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.]
30. Professional Basis of AI Backprop
+++++++++++++++++++++++++++++++++++++
Backprop, rprop, quickprop, delta-bar-delta, supersab, recurrent networks
for Windows 95 and Unix/Tcl/Tk. Includes C++ source, examples, hypertext
documentation and the ability to use trained networks in C++ programs.
$30 for regular people and $200 for businesses and government agencies.
For details see: http://www.dontveter.com/probp/probp.html or
http://www.unidial.com/~drt/probp/probp.html
Questions to: Don Tveter, don@dontveter.com
31. STATISTICA: Neural Networks
+++++++++++++++++++++++++++++++
Product: 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: info@statsoft.com
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.
32. Braincel (Excel add-in)
+++++++++++++++++++++++++++
Product: 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: gideon@miracle.net
URL: http://www.promland.com/
also see http://www.jurikres.com/catalog/ms_bcel.htm
Braincel is an add-in to Excel using a training method called
backpercolation.
33. DESIRE/NEUNET
+++++++++++++++++
Product: 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: gatmkorn@aol.com
URL: http://members.aol.com/gatmkorn
Price: $ 775 (PC)
$ 2700 (SPARCstation)
$ 1800 (SPARCstation/educational)
Free educational version
DESIRE (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:
o backpropagation, creeping random search
o Hopfield networks, bidirectional associative memories
o perceptrons, transversal filters and predictors
o competitive learning, counterpropagation
o very fast emulation of adaptive resonance
o simulates fuzzy-logic control and radial-basis functions
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.
34. Viscovery SOMine
++++++++++++++++++++
Product: 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: office@eudaptics.co.at
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
35. NeuNet Pro
++++++++++++++
Product: 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: sales@cormactech.com
URL: http://www.cormactech.com
NeuNet Pro is a complete neural network development system:
o Requires Windows 95, Windows 98, or Windows NT4(sp3).
o Powerful, easy to use, point and click, graphical development
environment.
o Choose either SFAM or Back Propagation.
o Access data directly from MDB database file.
o Data may contain up to 255 fields.
o Split data into training set and testing set, up to 32,000 rows each.
o Comprehensive graphical reporting of prediction accuracy.
o Table browse, confusion matrix, scatter graph, and time series graph.
o Context sensitive help file with 70 page manual.
o Includes eight sample projects and assortment of sample data.
o Additional sample data available from URL above.
o Entire program may be downloaded from URL above.
36. Neuronics
+++++++++++++
Product: 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 licence
NNetView 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.
37. RG Software
+++++++++++++++
Product: NN50.DLL Neural Network Software Development Kit (SDK)
Company: RG Software Corporation
Address: 6838 W. Cholla
Peoria, Arizona 85345
Phone: (623) 773-2396
FAX: (623) 334-3421
Email: sales@rgsoftware.com
URL: http://www.rgsoftware.com
The NN50.DLL Neural Network SDK allows you to incorporate a quickprop
neural network in your favorite development environment (VB, FoxPro,
C++, Assembler, Java and just about any other Windows programming
language) with minimal investment and effort. NN50.DLL trains very fast,
saves and loads weights, can be used online, stopped and called during
training and more. NN50's input relevance function is based on
information gathered from
ftp://ftp.sas.com/pub/neural/importance.html.
NN50 is compatible with Windows 95, Windows 98, Windows NT and Windows
2000. Unix and Linux versions are also available. Please see
http://www.rgsoftware.com
for details.
38. Cobalt A.I. Code Builder - Neural Network Edition
++++++++++++++++++++++++++++++++++++++++++++++++++++++
Product: Code Builder - Neural Network Edition
Company: Cobalt A.I. Software
Phone: (623) 487-3813
Email: sales@cobaltai.com
URL: http://www.cobaltai.com
Price: U.S. $59.00
Cobalt A.I. Code Builder - Neural Network
Edition is a neural network source code
generator. Design neural networks and generate
efficient object oriented source code for C++,
Java or Visual Basic (VB, Excel, Access, Word).
Other languages (FoxPro, C# and VB.Net) will
soon be integrated. Code Builder uses a "Project
Wizard" to analyze data and suggest inputs, then
generates source code accordingly.
39. NEURO MODEL and GenOpt
++++++++++++++++++++++++++
Product: NEURO MODEL and GenOpt
Company: ATLAN-tec KG
Address: Hans-Martin Schleyer Strasse 18A
47877
Germany
Phone: +49 2154 92 48 222
FAX: +49 2154 92 48 100
Email: nm-sales@atlan-tec.com
URL: http://www.atlan-tec.com
Neuro Model (NM) is a Windows based ANN
Development Package which does not require any
scientific knowledge of ANN. Designed for the
process industry, NM showed its best performance
with real world data sets. Preprocessing of all
data sets by a proprietary cluster algorithm
provide reliable and consistant information for
training. The internal combination of different
mathematical methods eliminates the problem of
local optima and overfitting. Modelling of
dynamic non-linearity with implemented time
behaviour enables the package to predict process
conditions online in complexe enviroments like
chemical reactors. Extensive reports of all net
details include information about training
parameters and statistics alerts. Software
validation conform FDA could be done by
worldwide co-operation with Pharmaplan
(FRESENIUS AG).
Ask for FREE (Fullversion on loan) student
License for your project.
o Customized Components through DLLs
o Non Linear Genetic Optimization through GEN
OPT
o Microsoft Excel Add-in - NM Runtimer for Excel
o Runtimer for Windows NT, 2000, UNIX, DEC-VAX,
SOLARIS, LINUX
o Visual Data Selection
o Data Preprocessing, Analysis and Modification
o Batch Training and Parameter Optimization
o Extensive Information by different Sensitivity
and Accuracy Analysis
o Security Net Algorithm shows statistical
confidence for predicted results
o Comparison of predicted vs. desired results
incl. confidence range for the whole
topography
o Automated Report Generation incl. DES crypted
fingerprint
o Sophisticated Graphic Machine
o Multi Language Library for international
Corporate Licenses
Applications References available for:
o Pharma & Bioscience
o Clinical Medicine Research
o Chemical Industry
o Waste Water Treatment Plants
o Food Industry
o Plastic Processing
o Prediction of Energy Consumption Behaviour for
Electricity / Water / Gas network
------------------------------------------------------------------------
Next part is part 7 (of 7). Previous part is part
5.
--
Warren S. Sarle SAS Institute Inc. The opinions expressed here
saswss@unx.sas.com SAS Campus Drive are mine and not necessarily
(919) 677-8000 Cary, NC 27513, USA those of SAS Institute.
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