CS 578

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Neural Network Design

Catalog Description: Same as ECE 578 and ME 578. Introduction to neural networks and problems that can be solved by their application; introduction of basic neural network architectures; learning rules are developed for training these architectures to perform useful functions; various training techniques employing the learning rules discussed and applied; neural networks used to solve pattern recognition and control system problems.

Total Credits: 3

Course Coordinator: Milos Manic

URL: http://husky.if.uidaho.edu/ee578s12/

Prereq: Permission.

Textbook: Simon Haykin, "Neural Networks and Learning Machines", Prentice Hall, 2008.

Major Topics Covered

  • Introduction to Artificial Neural Networks
  • Artificial Neural Networks as universal approximators and classifiers
  • Training algorithms
  • Applications
    • Object (face, image, handwriting) recognition
    • Intelligent control
    • Guidance of aerial and underwater unmanned vehicles
    • Robotics
  • Autonomous learning and decision-making systems
  • Fuzzy logic and fuzzy systems