Novel association model optimized by neural net

Mingzhe Lu; JinLi Chen; Fu-Lai Liu; ZhiLiang Fang; Guoguang Mu

doi:10.1117/12.152642

19 August 1993 Novel association model optimized by neural net

Mingzhe Lu, JinLi Chen, Fu-Lai Liu, ZhiLiang Fang, Guoguang Mu

Proceedings Volume 1966, Science of Artificial Neural Networks II; (1993) https://doi.org/10.1117/12.152642
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Based on the optimization with neural net, a new algorithm for construction of an interconnection weight matrix (IWM) of binary Hopfield-type dynamic associative memories is proposed. Computer simulation shows that is has higher storage capacity and better error- correction ability than Hopfield model.

Citation Download Citation

Mingzhe Lu, JinLi Chen, Fu-Lai Liu, ZhiLiang Fang, and Guoguang Mu "Novel association model optimized by neural net", Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); https://doi.org/10.1117/12.152642

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