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home › MIS › Neural Network Programs- Free Downloads at Simtel.net
Neural Network Programs| Found: 15. Displaying: 1-10 |  |  |
  | 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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 | 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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