Genetic-algorithm-based tri-state neural networks

Chii-Maw Uang; Wen-Gong Chen; Ji-Bin Horng

doi:10.1117/12.483202

16 September 2002 Genetic-algorithm-based tri-state neural networks

Chii-Maw Uang, Wen-Gong Chen, Ji-Bin Horng

Proceedings Volume 4929, Optical Information Processing Technology; (2002) https://doi.org/10.1117/12.483202
Event: Photonics Asia, 2002, Shanghai, China

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.

Citation Download Citation

Chii-Maw Uang, Wen-Gong Chen, and Ji-Bin Horng "Genetic-algorithm-based tri-state neural networks", Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); https://doi.org/10.1117/12.483202

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