Introduction to Neural Networks

ISYE-6870

Neural networks are program and memory at once, useful where traditional techniques fail, i.e., for artificial speech and image recognition. Emphasis on existing and emerging engineering applications. Parallel distributed processing, Hebb’s rule, Hopfield net, back-propagation algorithm, perceptrons, unsupervised learning, Kohenen self-organizing map, genetic algorithms, neocognitron, adaline. Illustrated with computer programs and lectures.

3 credits

Prereqs:

none

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	Summer		Fall
	(Session 1)	(Session 2)
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2013			Intro To Neural Networks (3c) Mark J Embrechts Seats Taken: 6/30
2012			Intro To Neural Networks (3c) Mark J Embrechts Seats Taken: 3/30
2011			Intro To Neural Networks (3c) Mark J Embrechts Seats Taken: 7/30
2010			Intro To Neural Networks (3c) Mark J Embrechts Seats Taken: 11/30
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