Document Type

Thesis

Date of Award

1-31-1992

Degree Name

Master of Science in Computer and Information Science - (M.S.)

Department

Computer and Information Science

First Advisor

David T. Wang

Abstract

Two approaches to find orthogonal states of neural network are presented in the paper. The first approach is a recursive one, it builds N orthogonal vectors based on N /2 orthogonal vectors. The second approach is a formula approach, in which orthogonal vectors can be obtained using a formula. Using these approaches, orthogonal states of neural network are found. Some properties of the neural network built on these orthogonal vectors are presented in Appendix A and some examples are given in Appendix B.

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