Date of Defense

4-1991

Department

Electrical and Computer Engineering

First Advisor

Dr. Frank Severance

Second Advisor

Dr. Seyed Hossein Mousavinezhad

Third Advisor

Dr. Lambert Vanderkooi

Abstract

A smart light tracking system has been developed using a neural network. The neural network algorithm analyzes data produced by a set of light sensors and allows for feedback to train the neural network program. The experimental sensory unit consists of three light sensors and one light source which can travel in a two-dimensional reference plane. Performance results of a computer simulation will be compared to those of the physical implementation.

Access Setting

Honors Thesis-Campus Only

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