Backpropagation

Tutorial in Spanish about the Backpropagation algorithm. For academic and educational purposes only.This tutorial provides a brief introduction to the multilayer neural network training algorithm Backpropagation low based on gradient descent and the delta rule, along with its numerical... Platforms: Matlab

Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.Marcelo Augusto Costa FernandesDCA - CT - UFRNmfernandes@dca.ufrn.br Platforms: Matlab

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...

OpenDiscreteDynamicProgrammingTemplate project founds optimal constrainted parameters of a discrete controls with second order optimization template replacing Hessian with directional derivatives and backpropagation for digital filter(as neural network).. OpenDiscreteDynamicProgrammingTemplate:... Platforms: *nix

This set of programs correspond to demos, exercises, and implementations of algorithms described inAbdi H. (1994) Les Reseaux de Neurone (in French) andin (in English)Abdi, Valentin, Edelman (1999) Neural Networks. SageThese include:Linear auto and hetero associators, radial basis function... Platforms: Matlab

The matrix implementation of the two-layer Multilayer Perceptron (MLP) neural networks.The matrix implementation of the MLP and Backpropagation algorithm for two-layer Multilayer Perceptron (MLP) neural networks.Marcelo Augusto Costa FernandesDCA - CT - UFRNmfernandes@dca.ufrn.br Platforms: Matlab

Encog is an advanced neural network and bot programming library. Encog can be used independently either to create neural networks or HTTP bot programs. Encog also includes classes that combine these two advanced features. Encog contains classes for Feedforward Neural Networks, Hopfield Neural... Platforms: Mac

AI::NNFlex::Backprop project is a fast, pure perl backprop Neural Net simulator. SYNOPSIS use AI::NNFlex::Backprop; my $network = AI::NNFlex::Backprop->new(config parameter=>value); $network->add_layer(nodes=>x,activationfunction=>function); $network->init(); use... Platforms: *nix

User-friendly (see screenshot) Minimum knowledge of neural net technology Number of inputs and outputs are limited only by MS Excel limitation Can accommodate more than 2 outputs nodes. Most commercial available software is limited to one output node MS Excel graphing and data... Platforms: Windows

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

Walnut is an OpenSource framework for the development of neural network simulations by both beginners and experts. It is a system that is extensible with new paradigms. Neural network architectures and simulations are portable between various platforms (notably Windows and Unix). These objectives... Platforms: Windows

Neural network classification results live view (like a movie). Free software for playing with neural networks classification. Major features * Easy, ready to play with. * Live view. * Many network architectures. * Different shapes of training data sets. * Learning with backpropagation... Platforms: Windows

Lite version of IQ Trainer. Train your intelligence with this software based on neurophysiological mechanism called Backpropagation. Improve your IQ test score, memory and attention. Average IQ test score increases up to 150% For more info visit homepage Registered users will get BrainWave... Platforms: Windows

NeuroBox is an .NET OOP Library to generate, propagate and train complex neuronal networks with technologies like backpropagation with weight decay, momentum term, manhattan training, flatspot elimination etc. Platforms: Windows, Mac, Linux

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported. Platforms: Windows, Mac, Linux

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

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

There are three methods (1, 2 & 3 [Back-propagation]) for forecasting a time series. Here is a collection of MATLAB programming, screen shorts, Fig files giving results. Follow comments in the files to run programs Platforms: Matlab

-Compatible with pre-2010 vers. of Matlab and Neural network toolbox-Trains a perceptron for the spring and one for the damper. -Runs a simulation with forcing function and noise.-If you don't have the toolbox, you can still use my back-propagation. Platforms: Matlab

Control system for DC machine with current back-propagation and two levels of excitation is using in wide area of applications.It developed for modeling of robustness in power circuit of electrical engine. The action of electrical engine determined by stringent conditions of confidence intervals. Platforms: Matlab