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M E 539: Introduction to Artificial Neural Network and Fuzzy Systems

  • Catalog Description:
    Theory and applications of artificial neural networks and fuzzy logic: multi-layer perceptron, self-organization map, radial basis network, Hopfield network, recurrent network, fuzzy set theory, fuzzy logic control, adaptive fuzzy neural network, genetic algorithm, and evolution computing. Applications to control, pattern recognition, nonlinear system modeling, speech and image processing.
  • Credits: 3
  • Prerequisites: Comp Sci 302, or Comp Sci 310, or knowledge of C programming lang
  • Official Course Description (pdf)

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