Effect of normalized interconnect matrix on the performance of Hopfield neural network

Shaoping Bian; Jie Li; Kebin Xu

doi:10.1117/12.135120

1 March 1992 Effect of normalized interconnect matrix on the performance of Hopfield neural network

Shaoping Bian, Jie Li, Kebin Xu

Proceedings Volume 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods; (1992) https://doi.org/10.1117/12.135120
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

It is shown by theoretical analysis and numerical simulations that there are some senses of reduction of the convergence property when the multi-valued matrix is substituted by a normalized matrix. Also, an optical experimental implementation scheme of Hopfield neural network which uses a novel multi-valued synaptic interconnect matrix realized by a combined system of LCLV and CRT controlled by a microcomputer is proposed.

Citation Download Citation

Shaoping Bian, Jie Li, and Kebin Xu "Effect of normalized interconnect matrix on the performance of Hopfield neural network", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); https://doi.org/10.1117/12.135120

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