Neural network simulator based on C and Tcl. Made up of C libraries to build networks, and pre-built simulators.

Suite of unsupervised competitive learning software written in Java, with full source code.

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

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

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

A free java-based neural network simulation kit.

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

Tutorial that includes Java applet for online experiments with prediction of a function, including training set generation and error observation.

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

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

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

Forecasting and estimation software based on neural networks. Demo version available.

Showcases a java applet demo of a trained neural network piloting a lunar-lander type spacecraft over landscapes of various complexity.

Java open source neural network framework which can be used to create and train common types of neural networks. Site contains full source code, documentation and project info.

Neural network COM+ components and development environment for forecasting and data analysis. Supports several algorithms. Trial version is available.

An opensource .NET OOP library project written in C# to generate, propagate and train complex neural feedforward networks.

Professional II/PLUS is a neural network development environment. Available for Windows and Unix. Predict is a neural network tool for solving prediction and classification problems. Available for Unix or as an Excel add-in for Windows.

Neural network simulators for eight different network architectures with embedded example applications coded in portable ANSI C.

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

A neural network based system to recognize leaves written in Java. A Java-Applet is also available.

Simulates MLP, RMLP and Cascade-Correlation models with dynamic size adjustment algorithms. Includes various training patterns, error and activation functions.

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

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