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CptS 434: Neural Network Design and Application

Catalog Information
Course Number: 
434
Credits: 
3
Pre-Requisites


Computer programming skills.

Class Information
Objectives: 

The objective of this course is to provide a broad group of students (from computer science, engineering, science, business and other disciplines) with hands-on experience with neural network modeling for complex problems in classification, time series prediction, nonlinear control, and elsewhere.

Topics: 
  • Foundations of Artificial Neural Networks,
  • Paradigms of Artificial Neural Networks,
  • Learning in Artificial Neural Networks,
  • Application Design,
  • Associative Memories,
  • Business and Financial Applications,
  • Pattern Classification,
  • Image Processing,
  • Process Control and Robotics.
Lab Projects: 

A number of practical projects concentrating on understanding the conceptual models as well as on designing experiments tuned to particular problems.

Requirements
Textbooks/References: 

M.T. Hagan, H.B. Demuth and M. Beale, Neural Network Design, PWS Publishing, 1996.
D.M. Skapura, Building Neural Networks, ACM Press/Addison Wesley, 1996.
A. Biran and M. Breiner, Matlab for Engineers, Addison Wesley, 1996.

Computer Usage: 

Unix, Windows95, Mat lab, Neural Networks Toolbox, simulation packages developed in the coordinator's lab.

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