Additional information is available from ftp.cs.toronto.edu . A family of neural network simulation package with a user-friendly interface. All BrainMaker software come with tutorials and sample networks. The standard version of BrainMaker accepts 512 inputs and eight neuron layers. The basic function is simulating backpropagation.
Users can decide when to stop training.
A collection of functions for designing, training and simulating neural networks. It supports various architectures and training methods. These include several variations on backpropagation, and unsupervised learning including Kohonen networks, and self-organizing maps. A Windows based development system that includes both simple and advanced systems. It includes 12 types of backpropagation, Kohonen, PNN, and GRNN architectures.