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.
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 software for Windows with numeric, text and image functions.
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.
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.
LTF-C neural networks simulator for solving classification problems.
Lightweight Neural Network++
Free software project. Implements a general feed forward neural network and some training techniques.
An open project about simulating human-like intelligence with the help of neural networks.
A set of MATLAB tools for neural network based identification of nonlinear dynamic systems.
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.
A freeware environment for development and application of artificial neural networks.
Neural Network Framework
Class framework to create neural networks with arbitrary topology and mixed type of neurons, developed for research purpose. Includes technical information and discussion mailing-list.
Neural Network Leaves Recognition
A neural network based system to recognize leaves written in Java. A Java-Applet is also available.
Neural Networks at your Fingertips
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.
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.
Model Manager for development of bayesian neural networks.
Showcases a java applet demo of a trained neural network piloting a lunar-lander type spacecraft over landscapes of various complexity.
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#.
Software for simulation of back propagation neural networks. Evaluation version available.
A free java-based neural network simulation kit.
Stuttgart Neural Network Simulator
Description of the features of the Unix and X11 based simulator, information about how to obtain the SNNS sources and an online user manual.
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.
An open source neural network library. Implements feedforward neural network classes in multiple languages including C++ and PHP.
Last Updated: 2007-09-09 10:09:42