Perceptron

Perceptron is a video feedback engine with a variety of extraordinary graphical effects. Perceptron is an endless flow of transforming visuals. Perceptron * transforms images in realtime and produces a combination of Julia fractals, IFS fractals, and chaotic patterns * evolves geometric... Platforms: Windows, Mac, Linux

Source code for fast training of multilayer perceptron for approximation. Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuMap7.06. The training algorithm can be modified to be substantially better than BP. A... Platforms: Windows

Source code for fast training of multilayer perceptron classifier. Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuClass7.06. The training algorithm can be modified to be substantially better than BP. A... Platforms: Windows

It is a single lyer single neuron for linear sparable data classification.It implement the first neural networks algorithm by Rosenblatt's. It is a single lyer single neuron for linear sparable data classification.It implement the first neural networks algorithm by Rosenblatt's. It contains three... Platforms: Matlab

Perceptron LMS Feed Forward Back Propagation Character Recognition Platforms: Matlab

ABPS - Advanced Branch Prediction Simulator - allows: branch prediction simulation using multiple predictors (GAg,PAg,PAp,GShare,Perceptron) and detection of unbiased branches. Results can be seen using charts. Used benchmarks: Stanford, SPEC2000, CBP2. Platforms: Windows, Mac, Linux

MLP(Multilayer Perceptron) training library written in LISP like language called Scheme. Can work with any type of MLP. Platforms: Windows, Mac, Linux

A fast Gentle Adaboost classifier with two different weak-learners: i) decision stump and ii) perceptron. Multiclass is performed with the one-against-all strategy.Usage ------ model = gentleboost_model(X , y , [T] , [options]); Inputs ------- X Features matrix (d x N) y Labels (1 x N). If y... Platforms: Matlab

Neural Network Based System Identification Toolbox Version 2The NNSYSID toolbox contains a number of tools for identification of nonlinear dynamic systems with neural networks. Several nonlinear model structures based on multilayer perceptron networks are provided and there are also many... 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

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

annie stands for Artificial Neural Network Library and is a C++ API (library) for neural network training and execution. ersions exist for both Windows and flavours of Unix (tested on Linux). The library currently has support for training, saving and executing multi-layer perceptron,... Platforms: *nix

Statistics::LTU is an implementation of Linear Threshold Units. SYNOPSIS use Statistics::LTU; my $acr_ltu = new Statistics::LTU::ACR(3, 1); # 3 attributes, scaled $ltu->train([1,3,2], $LTU_PLUS); $ltu->train([-1,3,0], $LTU_MINUS); ... print "LTU looks like this:n"; $ltu->print;... 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

An artificial intelligence library focused for developers. Contains implementations of fuzzy logic (Mandiani's inference), genetic algorithms, ant colony optimization,neural networks (Perceptron, MLP, Adaline, RBF, LVQ, Hebb, Kohonen, et al). Platforms: Windows, Mac, Linux

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

This application is an open-source machine learning program for supervised classification of patterns (vectors of measurements). PCP implements the following algorithms and methods: - Fisher's linear discriminant - dimensionality reduction using Singular Value Decomposition - Principal... Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

SVMs are a bit tricky. In this case, we show a linear SVM and illustrate its behaviour on some 2D data. This should be great for getting to grips with maximising geometric margins, support vectors, and the optimisation involved in computing an optimal separating hyperplane.Data can be generated... Platforms: Matlab

The attached zip file contains what is needed to implement a two layer neural network. This will hopefully be the first part of a broader collection of neural network tools.It can be used to train and simulate a NN with two layers, an input layer and an output layer. The output layer's activation... Platforms: Matlab

TexLexAn is an open source text analyser for Linux, able to estimate the readability and reading time, to classify and summarize texts. It has some learning abilities and accepts html, doc, pdf, ppt, odt and txt documents. Written in C and Python. Features . GUI and CLI to Analyze, classify... Platforms: *nix