A library of MATLAB functions for simulating neural network algorithms based on the book Neural Networks for Pattern Recognition by Chris Bishop. http://www.ncrg.aston.ac.uk/netlab/
Icon-based neural network development software. Supports several types of networks and training algorithms. Trial version is available. http://www.neurosolutions.com
A standard environment for evaluating the performance of learning methods. Includes a number of datasets and an archive of learning methods. http://www.cs.toronto.edu/~delve/
Description of the features of the Unix and X11 based simulator, information about how to obtain the SNNS sources and an online user manual. http://www-ra.informatik.uni-tuebingen.de/SNNS/
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. http://www.cnbc.cmu.edu/PDP++/PDP++.html