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

Open-source software for simulating spiking neural networks, written in C++.

Open-source neural network library for C++ (Windows and Linux). Support for MLP, RBF and Hopfield networks. Interfaces with Matlab's Neural Network Toolbox.

Provides programming tools for rapid application development of artificial intelligence systems.

A back propagation neural network application.

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

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

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.

Neural network library implemented in ANSI C. Creates multilayer feedforward networks with support for both fully connected and sparse connected networks. Supports execution in fixed point, for fast execution on systems like the iPAQ.

Free interactive environment for Mathematica includes pattern recognition and time-series prediction samples.

A platform for simulating complex neural systems.

Open source Java implementation of feed-forward neural nets: multi-layer perceptrons, generalized and modular feed-forward networks.

Java Object Oriented Neural Engine is a free java neural net framework. Can be extended writing new modules.

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

LTF-C neural networks simulator for solving classification problems.

A tutorial on how to construct custom neural networks starting from an empty network object.

An open project about simulating human-like intelligence with the help of neural networks.

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

Research project and Windows software with the emphasis on the evolving intelligence.

A freeware environment for development and application of artificial neural networks.

A stock market predictor based on neural networks.

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

Neural network freeware for building prediction and classification models in Excel. Uses backpropagation. Can handle missing values and categorical data.

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

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

Professional II/PLUS is a comprehensive 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.

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

A family of Java based computer products for neural network applications.

Model Manager for development of bayesian neural networks.

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

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

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

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.

Java backpropagation neural network simulator. Supports wizard-based GUI and performance monitoring charts.

A neural-network simulation system based on C++. This is the next generation of the PDP software originally released with McClelland and Rumelhart's PDP book.

Open source neural network library to create multi-layer perceptrons. Written in C#.

C++ libraries: multi-layer perceptron with stochastic learing and genetic algorithms.

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

An open source library implementing artificial neural networks.

A free java-based neural network simulation kit.

Description of the features of the Unix and X11 based simulator, information about how to obtain the SNNS sources and an online user manual.

Java sources for temporal difference learning Random Walk and Tic Tac Toe.

A simulation system for modeling large-scale general neural networks.

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

Showcases a java applet designed to recognize hand printed digits using a neural network. Digits can be drawn using the mouse and recognized by the applet in the browser.

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

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

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