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19 August 1993 Novel association model optimized by neural net
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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