Forward Neural

The form of a single layer feed forward neural network lends itself to finding the gradient. This is useful when the network is used for surrogate optimization or other algorithms that use gradients. Requires creating a file by modifying a NN toolbox file. Platforms: Matlab

ffnet is meant to be an easy and fast feed-forward neural network training solution for python.. Platforms: *nix

The function nntest6.m is a Neural Network viewer and controller that allows experimentation with a feed-forward Neural Network. Features: Platforms: Matlab

Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps. Platforms: *nix

Tremani Neural Network allows you to build, train and employ neural networks in PHP. It is easy to use and set up, and does not rely on external software to be installed on your webserver. Above all, the software is open source, which means you can use and modify it freely.A neural network can be... Platforms: Windows, Mac, *nix, PHP, BSD Solaris

Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes for any set of input values. Neural Networks... Platforms: Windows

Mail Forward allows you to forward mail from AOL, Gmail, Hotmail, MSN, Netscape, and Yahoo web mail accounts to any e-mail address. Standard POP and IMAP e-mail accounts can also be forwarded. Mail can be forwarded for up to 20 separate accounts. For each account, a forwarding address can be... Platforms: Mac

This script provides a buffered stream that supports multiple forward-only readers. The buffer enables readers that are behind the front-runner to access values that have already been read from the stream. Values that are no longer accessible by any reader are cleared from the buffer. Platforms: Windows, Mac, *nix, Python, BSD Solaris

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported.It... Platforms: BSD Solaris

The SigmaPi Neural Network Simulator is designed for time-series processing and neural network research on Unix/X11. It uses the LSTM neuron model, the RTRL training algorithm and a heuristic learning rate adaptation based on local update sign-changes.To use SigmaPi, you should know how a... Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported.It... Platforms: BSD Solaris

Given a neural network object, this function returns the closed, symbolic, expression implemented by the network (as a string).This allows you to use a neural network model without relying on the neural network toolbox.Note I only implemented for feed forward nets (MLPs) and not all possible... Platforms: Matlab

Simple tutorial on pattern recognition using back propagation neural networks. the program has 3 classes with 3 images per class. Platforms: Matlab

SFAM is an incremental neural network classifier. It is a simple and fast version of Fuzzy ARTMAP (FAM). Both FAM and SFAM produce the same output given the same input.References:[1] Kasuba, T. (1993). "Simplified fuzzy ARTMAP." AI Expert, Nov., 18d-deOCt25.[2] Carpenter, G. A., Grossberg, S.,... Platforms: Matlab

This package includes files for modelling nonlinear dynamic systems using a recurrent generalized neural network. The learning scheme uses the complex method of nonlinear nonderivative optimization, thereby avoiding the problems of computing the derivative of an infinite impulse response filter... Platforms: Matlab

Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function. It requires the unscented Kalman filter,... Platforms: Matlab

In this article, procedure for using the the Matlab Neural Toolbox in order to identify and control an hypothetical non linear plant is explained with details enough to help anybody interested in that issue to know what to do and how to do a complete simulation using the tools that Matlab 7.1 and... Platforms: Matlab

Perceptron LMS Feed Forward Back Propagation Character Recognition Platforms: Matlab

this model show the design of sun seeker control system using neural network model refrence with neural network toolbox and SIMULINK with MATLAB Platforms: Matlab

Best Foot Forward provides an easy way to automatically create a featured post list by utilizing the WordPress tagging system. No need to create manual lists. No need to create categories. Just tag and you're done. You can use tags such as "featured" or "favorite", or any other words that you... Platforms: PHP