Neural Network Car

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

Perceptron LMS Feed Forward Back Propagation Character Recognition

Neural Network Based Control System Design Toolkit Version 2The NNCTRL toolkit is a set of tools for design and simulation of control systems based on neural networks. The following designs are available:o Direct inverse controlo Internal model controlo Control by feedback linearizationo Optimal...


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

Adaptive Resonance Theory (ART) Neural Network art1.zip contains: art1s.m - M-file for simulation of ART1 NN letno.m - M-file for generating input binary patterns (letters A-Z) for use with art1s.m noisy.m - M-file which introduces noise in the patterns. Used by letno.m letplot.m - M-file for...


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

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

These files support the webinar titled "Developing Models from Experimental Data Using System Identification Toolbox". The webinar was presented on April 05, 2007 and can be found at:http://www.mathworks.com/wbnr30317For other webinars and demos related to System Identification Toolbox, please...


Platforms: Matlab

The Kalman filter is actually a feedback approach to minimize the estimation error in terms of sum of square. This approach can be applied to general nonlinear optimization. This function shows a way using the extended Kalman filter to solve some unconstrained nonlinear optimization problems. Two...


Platforms: Matlab

The Kalman filter can be interpreted as a feedback approach to minimize the least equare error. It can be applied to solve a nonlinear least square optimization problem. This function provides a way using the unscented Kalman filter to solve nonlinear least square optimization problems. Three...


Platforms: Matlab

The large classification margin is the most usual approach to achieve good generalization. The most known maximal margin algorithm is SVM, for which different kernels have been investigated. Unfortunately, in the context of some real world problems, such as on-the-fly object detection, the use of...


Platforms: Matlab