CS 578

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