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Proceedings Paper

Genetic-algorithm-based tri-state neural networks
Author(s): Chii-Maw Uang; Wen-Gong Chen; Ji-Bin Horng
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Paper Abstract

A new method, using genetic algorithms, for constructing a tri-state neural network is presented. The global searching features of the genetic algorithms are adopted to help us easily find the interconnection weight matrix of a bipolar neural network. The construction method is based on the biological nervous systems, which evolve the parameters encoded in genes. Taking the advantages of conventional (binary) genetic algorithms, a two-level chromosome structure is proposed for training the tri-state neural network. A Matlab program is developed for simulating the network performances. The results show that the proposed genetic algorithms method not only has the features of accurate of constructing the interconnection weight matrix, but also has better network performance.

Paper Details

Date Published: 16 September 2002
PDF: 7 pages
Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); doi: 10.1117/12.483202
Show Author Affiliations
Chii-Maw Uang, I-Shou Univ. (Taiwan)
Wen-Gong Chen, I-Shou Univ. (Taiwan)
Ji-Bin Horng, I-Shou Univ. (Taiwan)

Published in SPIE Proceedings Vol. 4929:
Optical Information Processing Technology
Guoguang Mu; Francis T. S. Yu; Suganda Jutamulia, Editor(s)

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