Neural network software for Windows with numeric, text and image functions.

A platform for simulating complex neural systems.

A library of MATLAB functions for simulating neural network algorithms based on the book Neural Networks for Pattern Recognition by Chris Bishop.

MS Excel add-ins based on neural networks. Designed for predicting, classification and financial forecasting.

Software for simulation of back propagation neural networks. Evaluation version available.

Provides a development environment for the design, simulation and testing of neural networks and their applications up to the production of an optimized software solution.

A library of state-of-the-art machine learning algorithms. Licensed under the GPL, and designed for Unix and Linux environments.

Free software project. Implements a general feed forward neural network and some training techniques.

LTF-C neural networks simulator for solving classification problems.

Free application for training neural networks with the back-propagation algorithms.