Introduction to Artificial Neural Networks and Fuzzy Systems

CS 539

Credits: 

3

Theory and applications of artificial neural networks and fuzzy logic: multi-layer perceptrons, self-organizing maps, radial basis networks, Hopfield networks, recurrent networks, fuzzy-set theory, fuzzy logic control, adaptive fuzzy neural networks, genetic algorithms, and evolutionary computing. Applications to control, pattern recognition, nonlinear system modeling, speech and image processing. Prereq: CS 302, or CS 310, or knowledge of C.

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