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ANNJ, Another Neural Network for Java is a neural network framework for the Java programming language. It is still in an early development stage, currently supporting only feed-forward type networks, but will soon be able to handle many other types.
NeuronDotNet is a neural network engine written in C#. It provides an interface for advanced AI programmers to design various types of artificial neural networks and use them.
PHPNN Is an open source, GPL licensed, PHP class library for the easy creation and manipulation of Neural Network based artificial intelligence. This library is intended for use in experimentation, games, quality control, or any other purpose.
JAFF: Just Another Financial Framework. Technical Analysis (studying the price and trading history) of some stock quotes from internet. Neural Network analysis for non-linear prediction and forecasting.
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This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.
The aim of GUINNEA (Graphical User Interfaced Neural Network Architecture) is to develop a comfortable and high-featured neural net simulator which is highly configurable and flexible. It will support many neural nets and visualization features for those
NxNet is an implementation of a BPN neural network written in C#. NxNet allows the user to configure the neural net, train and query the trained net. NxNet 2.0 introduces a batch query capability. Requires .Net Framework 2.0 be installed also.
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NNFpp (Neural Network Framework plus plus) is a C++ porting of the NNF library. The library is a complete and portable C++ class with specified functions for using neural networks.
NeuralJ is a free, open-source neural network library for Java applications. It is the purpose of this project to make the easiest, most flexible and reliable, neural network platform available.
NeuroDraughts is a Draughts/Checkers game that teaches itself how to play through self play. It combines an Artificial Neural Network, trained by Temporal Difference Learning using some Genetic Algorithm style behaviour.
Java Kohonen Neural Network Library
Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map).
Lightweight backpropagation neural network in C++. The project provides a class implementing a feedforward neural network, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
Amygdala is a C++ spiking neural network library. It includes several neuron models, SMP support and facilities for developing SNNs with genetic algorithms. Support for running Amygdala neural networks on workstation clusters and MPPs is also under way
Lightweight backpropagation neural network in C. Intended for programs that need a simple neural network and do not want needlessly complex neural network libraries. Includes example application that trains a network to recognize handwritten digits.
Neural network libraries in many different languages compatible with each other, such that neural networks can be trained on one platform and utilised on another.
Do you want a neural network OO class?
With documentation?
Do not go further... You found it!
you have here a complete library of different neural network in an OO encapsulation.
Starting from adaline, back propagation, Kohonen
A neural net module written in python. The aim of the project is to provide a large set of neural network types accessed by an API that is easy to use and powerful.
TIKAPP is becoming a collection of tools for simulation of neural networks. The first available part is an ANSI-C++ library with support for backpropation networks.
Cluster Networks are a new style of neural simulation / neural network modeling, that models networks of neural populations ("clusters") that transform and transmit information using precisely-timed, graded bursts ("pulses" or "volleys") of firing.
nn-utility is a neural network library for C++ and Java. Its aim is to simplify the tedious programming of neural networks, while allowing programmers to have maximum flexibility in terms of defining functions and network topology.
Neural network library for C++ applications in Windows and Linux.
Multi-Layer perceptron, radial-basis function networks and Hopfield networks are supported.
You can interface this with Matlab's Neural Network Toolbox using the Matlab Extensions Pack
DANNU - Database Artificial Neural Network Utility. A C#/.NET utility implementing the "NeuroBox" library which allows the user to import data from a database and train a network with it. A fully featured NN utlitility is envisioned.