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Neural Network Programs| Found: 15. Displaying: 1-10 |  |  |
 | Harbinger 1.00 |  | Harbinger is a high performance time series data forecaster and benchmarking application for Windows that utilizes neural network technology to model the behavior of any univariate time series. It is highly optimized to achieve maximum computing performance from modern PC hardware, and includes support for SSE and 3DNow! instruction set extensions.
Harbinger includes benchmarking features that measure and report on the actual numerical computing throughput it achieves while running, making it an excellent benchmarking tool for evaluating the real world scientific computing performance of different PC hardware platforms and instruction set extensions.
Harbinger is distributed as shareware. There is a 30-day trial period for the software during which time you may utilize its full functionality. After that, only the benchmarking features will remain available. You must register the program if you want to continue using all its features after the trial period is over.
Harbinger is free to use as a benchmarking tool. If you only wish to use the benchmarking features of Harbinger, you may do so indefinitely and there is no need to register the program.
Harbinger System Requirements
OS:
Microsoft Windows 95/98/98SE/Me/NT4/2000/XP or later
Internet Explorer 5 or later is required on Windows 95, 98, and NT4
CPU:
Pentium or higher (or equivalent)
RAM:
16 MB or higher strongly recommended
Screen Resolution:
800x600 or higher
Hard Drive Space:
1 MB required for installation |
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  | Neurak - Neural Networks Development Environment 1.1 | | Neurak is an environment for development and application of artificial neural networks. It is extremely easy to use, even for those who don't have a theorical knowledge about neural networks. The tutorials and on-line help will teach you to create and use neural networks in a few minutes.An optimized training algorithm and an efficient computational implementation provide a very fast training time.
It is also provided an API and a C++ class to load and use the neural networks developed in Neurak in your own programs. |
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 | backprop 0.9.5 | | Backprop is a standalone multi-layer neural network simulator that is based upon the popular backpropagation learning algorithm. The goal of this simulator is to provide users with a friendly and easy to use environment for experimenting with backpropagation networks. To achieve this, I put a lot of effort into making the user interface give as much visual feedback as possible, especially during network training, as well as giving the user easy to use interfaces for changing the attributes of the network, such as learning rates, momentum, and so forth. You can zoom in on the network graphically to see weight values in more detail, or zoom out in order to make visible larger, more complicated network architectures. You can speed up, or slow down, the rate at which error graphics and network state are updated during training. It is features like this that I hope will make Backprop your first choice for experimenting with backpropagation neural networks.
Backprop displays activation and weights during training as they change, and allows the user to enable/disable/configure the use of momentum and learning rate during training. You can also enable or disable a bias term to see what effect it has on convergence during training. Finally, it allows you to specify the use of sigmoid or htan activation functions. |
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 | Numap 7.0 | | Numap7.0 was developed by the Neural Networks and Image Processing Lab of Univ. of Texas at Arlington. It has training and testing algorithms for Multilayer Perceptron, Functional Link Networks, Piecewise Linear Networks, Self Organization Mapping and K-Mean. The algorithm written for MLP is called Output Weight Optimization - Hidden Weight Optimization (OWO-HWO). The Self Organization Map and K-Means algorithms are assosiated with fast VB Graphics that show the cluster formation and plots the mean sqare error simultaneously. It has Utilities and Tools for controlling the working directory, Counting the number of patterns in a given training file, Deleting columns, combining files, splitting files, to calculate mean and standard deviation of a given column of a file and to plot the histogram of each column of the training file.
It includes Data Preprocessing wherein the training data can be compressed using the discrete Karhunen-Loeve' transform (KLT). It also includes a Feature Selection Algorithm which specifies the importance of each input.
Extensive help files are provided in the software.
This is version of Numap7 is freeware which limits the MLP to 10 hidden units, and limts the PLN to 10 clusters. Interested parties can contact Prof. Manry concerning the commercial version which lacks these limitations.
The classification (decision making) version of this software, called Nuclass7, will be available in late Spring 2003. |
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 | BugBrain 2.10 | | Bug Brain is a game where you build brains to run a bug. You start in the lab where you experiment with the neurons and nodes that make up a brain. From there you move out into the field to build a brain for a Lady Bug to help it feed and survive. Further levels feature mushroom hunting worms and ants and the use of backpropagation in character recognition. Bug Brain has rendered graphics, challenging puzzles and the opportunity to learn about neural networks. |
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 | NeuroSolutions 4.20 | | This installation program includes evaluation versions of three products for neural network design and development: NeuroSolutions, NeuroSolutions for Excel and the Custom Solution Wizard.
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.
NeuroSolutions for Excel is a Microsoft Excel add-in that can be used in conjunction with NeuroSolutions to simplify and enhance the process of getting data in and out of the network.
The Custom Solution Wizard is a program that will take any neural network created with NeuroSolutions and automatically generate and compile a Dynamic Link Library (DLL) for that network, which you can then embed into your own application. |
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 | NeuralCAD 2.31 | | Use NeuralCAD v2.31 to create 4 different neural networks. These include Backpropagation, Brain-State-in-a-Box, Counterpropagation, and Discrete Autocorrelator. Included in this new version of NeuralCAd is a much improved user interface and saving feature. Also included in this version is Help support and the ability to view the threshold values for all of the network layers. The fully registered version includes additional graphical network capability as well as two additional networks: Fuzzy Associative Memory and Boltzmann Machine. This shareware version expires after 30 days. |
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 | neuro99.zip - | | The software package Neuro Office is aimed for development of
intellectual program modules based on neural networks with kernel
(modular) organization. Result of designing is a trained neural network
with COM-interface, that allows you to build the intellectual module
into any end user application, for example, MS Word, MS Excel, MS
Access, or development tool (MS Visual C, Visual Basic, Borland C++
Builder, Delphi, JAVA). Neural agents can be easily built into
HTML-pages.
Special requirements: None.
Changes: Cascading of neural nets; full-connected BP nets can be
modeled now; learning algorithm has been made more stable.
neuro99.zip has replaced neuroofx.zip.
Demo. Uploaded by representative of Alpha System.
Stanislav Korotky
stasson@orc.ru
editor@dic.ru
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 | neurem23.zip - | | Artificial neural networks are computational paradigms which implement
simplified models of their biological counterparts, biological neural
networks. Biological neural networks are the local assemblages of
neurons and their dendritic connections that form the (human) brain.
Simply add NEURO.DLL to your Visual FoxPro, Visual C++ or Visual Basic
project and with just a few lines of code you're well on your way to
incorporating a neural network in your application. A neural network
can help you develop a truly intelligent application, and it can also
help solve prediction, estimation and other classification problems such
as sales forecasts, stock price predictions, etc. Neural networks can
also be useful in weather prediction, decision making for loans, problem
diagnosis and many more applications.
Special requirements: None.
Shareware. Uploaded by the author.
Richard D. Gardner. RG Software Corporation
support@rgsoftware.com
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