Matlab Neural Network Tutorial

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,...

Comparison with ground truth and triangulation provided, with varying amounts of gaussian noise added in train and test data.GUI is in Portuguese, but self-explanatory. English version will be provided soon.

This color reduction software is based on a new neural network classifier (SGONG). The SGONG network classifier is suitable for color quantization applications, since each image pixel is considered as multidimensional vector, depending on the color space that is used and the extra features which...


Platforms: Matlab

Short code and easy to understand. Example data set provided.


Platforms: Matlab

Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiersPlease run mexme_NN to recompile mex files on your own plateformPlease run test*.m to run demos


Platforms: Matlab

Perceptron LMS Feed Forward Back Propagation Character Recognition


Platforms: Matlab

This demo shows some examples for image pre-processing before the recognition stage. the first example is just some commnads of image processing which are commonly used for preprocessing, while the second example shows how to use the simple command to automate the image processing stage...


Platforms: Matlab

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


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

TDL - Win Neural Net Pattern Recog. Tool Quick, hassle-free automatic construction of NN by use of evolutionary processes. Trans-Dimensional Learning allows multiple data sets to be learned incrementally, regardless of differences in number of inputs and outputs. Complete graphical support of...


Platforms: Windows

AI::NeuralNet::BackProp is a simple back-prop neural net that uses Deltas and Hebbs rule. SYNOPSIS use AI::NeuralNet::BackProp; # Create a new network with 1 layer, 5 inputs, and 5 outputs. my $net = new AI::NeuralNet::BackProp(1,5,5); # Add a small amount of randomness to the network...


Platforms: *nix

RNNSIM ver. 1.0 is a program with an interactive graphical user interface (GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used in training and testing the Random Neural Network(RNN) models. This version (ver. 1.0) implements only the 3 layer feed forward RNN model.


Platforms: Matlab

It will take a vector as input, with a lower and upper limit used for normalization.The script normalizes each feature value and calculates its complement.To run the script, unzip the archived files, open Matlab and type "compgui" in the Matlab prompt.


Platforms: Matlab

dANN library can help create artificial neural networks within other programs. It is currently written in Java, C++, and C#. However, C++ and C# versions can only be obtained through the SVN at the moment. Also, the C++ and C# versions are not properly documented and cleaned up, although they...


Platforms: *nix

GINNet, also known as the Graphical Interface for Neural Networks was developed as a decision-making platform written in Java. It has been designed in order to favorize the development and use of neural networks. It was create so that it could make, neural networks, teaching and evaluation easier.


Platforms: Windows

Multiple Back-Propagation is an easy to use application specially designed for the training of neural networks with the Back-Propagation and the Multiple Back-Propagation algorithms.


Platforms: Windows

AnimatLab is a simple, easy to use application specially designed to combine biomechanical simulation and biologically realistic neural networks. You can build the body of an animal, robot, or other machine and place it in a virtual world where the physics of its interaction with the...


Platforms: Windows

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

The package includes various examples with networks with 12 and up to 300 nodes. Requirements: - MATLAB 7.6 or higher - CPU and memory requirements strongly dependent on network size


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris