Neural Network Example

RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition. Platforms: Mac

Develop a Matlab program to demonstrate a neural network autoassociative memory. Show the importance of using the pseudoinverse in reducing cross correlation matrix errors. Show the performance of the autoassociative memory in noise. The results are contained in the Matlab file assoc_mem_demo.m Platforms: Matlab

Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only.in this system, 'A' template is feedback matrix, and 'B' template is control matrix.also, 'I' is Bias value.all image... Platforms: Matlab

This function constructs a bottleneck (or autoassociative) neural network. It is used for dimensionality reduction or nonlinear principle components analysis. This function was tested under MATLAB 5.3, and requires the Neural Network toolbox. Platforms: Matlab

RHiTech NeuronNet v 1.0b - this COM component allows emulating neural network and training it by the error back-propogation algorithm. Installation with example included. Platforms: Windows

AI::NNFlex is a base Perl class for implementing neural networks. SYNOPSIS use AI::NNFlex; my $network = AI::NNFlex->new(config parameter=>value); $network->add_layer( nodes=>x, activationfunction=>function); $network->init(); $network->lesion( nodes=>PROBABILITY,... Platforms: *nix

The SigmaPi Neural Network Simulator is designed for time-series processing and neural network research on Unix/X11. Since version 0.5, it uses the LSTM neuron model, the RTRL training algorithm and a heuristic learning rate adaptation based on local update sign-changes. It is GPL-covered, so you... Platforms: *nix

DynNet is built as a Java library that contains basic elements that are necessary in order to build neural networks. Neural network classical models are already available (Multi-layer perceptron, Kohonen self-organizing maps, neural gas, growing neural gas, etc.). 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

This demo gives a clear visual presentation of what happens during the Adaboost algorithms. It shows how the decision boundary, example weights, training error and base learner weights change during training.A selection of base learning algorithms are included: Linear Regression, Naive Bayes,... Platforms: Matlab

Short code and easy to understand. Example data set provided. Platforms: Matlab

Stock Market Browser is the perfect tool for day trading and stock market analysis. This very small and quick stock market browser (written in machine language) packs a big punch with a latest videos link, live stock scan with neural network A.I. actually gives buy and sell triangle... Platforms: Windows

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

KMemAid is like a traditional flash-card program to help you memorise question/answer pairs, but with an important twist: it uses a neural network to schedule the best time for an item to come up for review. Difficult items that you tend to forget quickly will be scheduled more often, while... Platforms: *nix

Simple program for artificial neural network users. Right now the program can manipulate with Feed forward back propagation network. Platforms: Windows, Mac, Linux

A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies. Platforms: Windows, Mac, Linux

Cluster Networks are a new style of neural simulation / neural network modeling, that models networks of neural populations ('clusters') that transform and transmit information using precisely-timed, graded bursts ('pulses' or 'volleys') of firing. Platforms: Windows, Mac, Linux

PHPNN Is an open source, GPL licensed, PHP class library for the easy creation and manipulation of Neural Network based artificial intelligence. This library is intended for use in experimentation, games, quality control, or any other purpose. Platforms: Windows, Mac, Linux

SPLITNEURON is a completely new approach to large-scale, biologically plausible, neural-network simulation library based on data structures and methods directly coded into database and conceived to explicitly share load on multiple machines. Platforms: Mac, Linux

A collection of plug-in algorithms for the WEKA machine learning workbench including artificial neural network (ANN) algorithms, and artificial immune system (AIS) algorithms. Platforms: Windows, Mac, Linux