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intelliworm is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.



Neural network modeling language



TCR Neuroph - Text Character Recognition is java tool developed to recognize scanned text , using Java Neural Network Framework - Neuroph



NNEGEN (Neural Network Experiment GENerator) is a framework for building advanced experiments with Artificial Neural Networks (ANN) programmed in Java. Most common of ANN (MLP, RBF, SOM) are supported.



PlexBench is a cross-platform, web-enabled, analysis tool that is driven by a scalable backpropagation feed-forward neural network. It uses embedded Perl for scripting and is written in the style of an in-process Component Object Model (COM) C++...



The Subneuron is a project for a set of c# classes for develop and simulate a Artificial Neural Network (ANN).



Again I'm uploading my homework...

This is a GUI which enables to load images and train a Hopfield network according to the image.
You can run the network on other images (or add noise to the same image) and see how well it...



This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection,...



The RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. It is a more robust version of RNNSIM ver. 1.0 package without a graphical user interface.



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...



Generic Framework for Constructing Neural Networks. The current framework is being expanded, to include automatic for- and back-ward propagation. Linking between the different neural network layers is being implemented.



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...



This program is the clone of 'Face Detection System' in MATLAB
but instead of Neural Networks, It is based on Support Vector Machine (SVM)

Face Detection System (Neural Network)



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...



Spanish Tutorial on Radial Basis Function (RBF) for academic and educational purposes only
This tutorial provides a brief introduction to neural network training radial basis function together with its numerical implementation as...



[Open Artificial Intelligence Library]. This library main goal is to provide a tool box to those who want to use algorithm such as neural network or genetics Algorithm and all algorithms that are commonly within the Artificial Intelligence field.



Integer Singular Value Decomposition Genetic Algorithm Function Fitter. This is an optimization algorithm that performs a similar role to a neural network.



Todbot is an AI addon to the gamestool virtual machine. The aim is to create an evolving neural network topology that should be capable of creating the optimal topology and network weighting to solve any problem given it.



Simple tutorial on pattern recognition using back propagation neural networks. the program has 3 classes with 3 images per class.



Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this...