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416 Neural And Adaptive Systems (3) A hands-on introduction to the theory and applications of neurocomputing. Includes classification, function approximation, supervised and unsupervised learning, time series analysis, and adaptive filtering using different feed-forward and recurrent artificial neural networks. Prerequisites: ECE 341 and CS 394R; or an intermediate knowledge of calculus, probability, and linear algebra along with instructor's consent. Offered: Winter
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