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Neural Networks
version 4.3.8
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Description:
Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes for any set of input values.

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This tool was written by Kevin O'Neill, Shinjiro Sueda, Leslie Tung, Joseph Roy Santos, Nicole Arksey, Kyle Porter, and Byron Knoll, with help from Mike Cline, Holger Hoos, Peter Gorniak, Cristina Conati, Alan Mackworth, and David Poole.

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