Neural Networks Credit

This script uses the IAC (interactive-competition-and-activation) model to analyze a database. Scalyze a dils: - The example is taken from Parallel Distributed Processing, a classic text on neural networks. - The field values represent neurons. - The database rows represent excitory...

This is a nonlinear system of differential and algebriac equations, that describe the dynamics of a continuous bioreactor. The bioreactor simulates the production of ethanol through yeast fermentation. The model is described in:Z. K. Nagy, Model Based Control of a Fermentation Bioreactor using...

To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight in BayesPI, namely Laplace prior and Cauchy prior, by using the evidence approximation method. In addition, we divided...


Platforms: Matlab

JavaBrains is an implementation of common AI algorithms in Java. Current algorithms implemented are: * Neural Networks * Genetic Algorithms * A* Pathfinding I hope to add the following features in the near future: * Bayesian Networks * State Machines * Rule-based inference * Fuzzy logic *...


Platforms: Mac

It allows users to specify the number of networks in the array and the number of input nodes, number of hidden nodes, number of output nodes, learning rate, momentum factor, minimum initial weight and maximum initial weight of each new network. The initial weights of new networks are randomly...


Platforms: Mac

darknocK detects edges in images, better than any other program. It is using Artificial Neural Networks to enchance the results of standard algorithms. It's a part of My work for My Master degree.


Platforms: *nix

SHARK provides libraries for the design of adaptive systems, including methods for linear and nonlinear optimization (e.g., evolutionary and gradient-based algorithms), kernel-based algorithms and neural networks, and other machine learning techniques.


Platforms: *nix

Matlab Classification Toolbox contains implementations of the following classifiers: Naive Bayes, Gaussian, Gaussian Mixture Model, Decision Tree and Neural Networks. This toolbox allows users to compare classifiers across various data sets.


Platforms: *nix

OpenAI is dedicated to creating a full suite of highly interoperable Artificial Intelligence components that make the best use of today's technologies. Current tools include Mobile Agents, Neural Networks, Genetic Algorithms and Finite State Machines.


Platforms: *nix

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

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

A replacement for the transfer function normprod.m in the MATLAB NN toolbox. With this transfer function, the NaNs in the simulation of RBF neural networks can be avoided.The function can handly zeros, and positive and negative infinite values in the weight vector. Also combinations of positive...


Platforms: Java

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

This code, realized in collaboration with Robert Thijs Kozma, implements a simple and powerful spiking model proposed by Eugene Izhikevich in 2003 (http://www.izhikevich.org/publications/spikes.pdf). This mathematical model is the most recent of a long tradition of models used to study individual...


Platforms: Matlab

Spanish Tutorial on Neural Control. For academic and educational purposes only.This tutorial presents the implementation of neural networks in control of a flexible swivel non-linear dynamics. Neural networks are trained offline to identify how the system by obtaining the direct and inverse model...


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

MPIL is an instance-based learning system , which utilizes two models for creating neighborhoods. The first model places a single neighborhood sphere (based on Euclidean distance measure) around an instance, and is in nature similar to the nearest neighbor classifier, except that it removes...


Platforms: Windows

A.I. Solver Studio is a unique pattern recognition application that deals with finding optimal solutions to classification problems and uses several powerful and proven artificial intelligence techniques including neural networks, genetic programming and genetic algorithms. No special knowledge...


Platforms: Windows

CILib comes from Computational Intelligence Library. CILib is a collaborative research framework for developing Computational Intelligence algorithms in the fields of swarm intelligence, evolutionary computing, neural networks, artificial immune systems, and fuzzy logic. Whats New in This...


Platforms: *nix