Neural Networks Software

AI::NNFlex is a base Perl class for implementing neural networks. SYNOPSIS use AI::NNFlex; my $network = AI::NNFlex->new(config parameter=>value); $network->add_layer( nodes=>x, activationfunction=>function); $network->init(); $network->lesion( nodes=>PROBABILITY,...

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.

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

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

IntelligenceLab is a set of .NET 2.0-4.0 components for Artificial Intelligence. Includes: Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more. Usage: Speech recognition, Face recognition, Computer vision, Gesture recognition, Robotics,...


Platforms: Windows

IntelligenceLab is a set of Visual C++ components for Artificial Intelligence. Includes: Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more. Usage: Speech recognition, Face recognition, Computer vision, Gesture recognition, Robotics,...


Platforms: Windows

Delphi/C++ Builder VCL and FireMonkey (FMX) components library for Artificial Intelligence. Includes: Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more. Usage: Speech recognition, Face recognition, Computer vision, Gesture...


Platforms: Windows

SAPI5-compliant Vietnamese text to speech engine Feature supports: - Synthesize Vietnamese speech with natural voices whose prosodics (duration, pause and amplitude) determined by a technique based on artificial neural networks. - Support SAPI5 interface. - Work with Vietnamese text in Unicode...


Platforms: Windows

Java Automated Development Environment for Neural networks. The project goal is to develop a network training application with helpful analytic features.


Platforms: Windows, Mac, Linux

NeuroEvolver is a tool for training and experimenting with one particular kind of recurrent neural networks, namely Long Short-Term Memory networks using an evolutionary learning method.


Platforms: Windows, Mac, Linux

NeuroPython is a Python module created for easy simulation of neural networks.


Platforms: Windows, Mac, Linux

Yawn: Yet Another W* Network: a java framework for developing, training and testing neural networks independently of the model and test environment.


Platforms: Windows, Mac, Linux

Nowadays, CNN becomes more and more useful in solving engineering issues. This simulation is to help you understand the original idea proposed by L.O. Chua and Yang.Please read thorough Readme.txt, original papers before changing the values of parameters


Platforms: Matlab

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

Takes column-wise Close Open High and Low dataGives Buy and Sell signals for maximum practical profit.Ignores small trend changes or flat days and follow biggest local trends.Profitable spikes are included.Tradeguie signal offers a practical trading benchmark training set for Neural Networks and...


Platforms: Matlab

Calculates Loudness Level according to ISO-226:2003 using Artificial Neural Networks for any SPL.Hi. This function is an update of work of:VdoTsctor Espinoza, Rodolfo Venegas, Sergio Floody"Modelo de Sonoridad Utilizando Redes Neuronales" (Loudness Model using Neural Networks)V Congreso...


Platforms: Matlab

SplitNeuron is a project for a set of data structures and functions being able to simulate large, biologically plausible, neural networks. It is based on information flow implying separation of data representing neurons (hence the project name). It includes the possibility to share load between...


Platforms: *nix

Are you a rookie? Or a professional? Whatever! With this poker game you can compete against a powerful A.I. based on neural networks - or other poker players in the online community! In No Limit, Pot Limit, Split Limit poker and various game modes such as single-player, tournament, network...


Platforms: Windows 8, Windows 7, Windows, Other