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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.
Open project about simulating human-like intelligence with the help of neural networks.
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 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.
An open source neural network library. Implements feedforward neural network classes in multiple languages including C++ and PHP.
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.
A library of MATLAB functions for simulating neural network algorithms based on the book Neural Networks for Pattern Recognition by Chris Bishop.
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