An environment for neural network research, design, and simulation within MATLAB.

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

A set of MATLAB tools for neural network based identification of nonlinear dynamic systems.

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

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

A standard environment for evaluating the performance of learning methods. Includes a number of datasets and an archive of learning methods.

Neural network software and Excel add-ins for forecasting and data analysis. Supports several algorithms. Trial versions are available.

Neural network software for technical analysis and stock market trading. Demo is available.

Icon-based neural network development software. Supports several types of networks and training algorithms. Trial version is available.

Neural network for classification and regression problems. Supports ODBC and Excel.