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On permutation symmetries of hopfield model neural network
JIYANG DONG ; SHENCHU XU ; ZHENXIANG CHEN ; BOXI WU ; Dong JY(董继扬)
刊名http://dx.doi.org/10.1155/S1026022601000139
2001
关键词ASSOCIATIVE MEMORY STABILITY DYNAMICS
英文摘要Discrete Hopfield neural network (DHNN) is studied by performing permutation operations on the synaptic weight matrix. The storable patterns set stored with Hebbian learning algorithm in a network without losing memories is studied, and a condition which makes sure all the patterns of the storable patterns set have a same basin size of attraction is proposed. Then, the permutation symmetries of the network are studied associating with the stored patterns set. A construction of the storable patterns set satisfying that condition is achieved by consideration of their invariance under a point group.
语种英语
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/69782]  
专题物理技术-已发表论文
推荐引用方式
GB/T 7714
JIYANG DONG,SHENCHU XU,ZHENXIANG CHEN,et al. On permutation symmetries of hopfield model neural network[J]. http://dx.doi.org/10.1155/S1026022601000139,2001.
APA JIYANG DONG,SHENCHU XU,ZHENXIANG CHEN,BOXI WU,&董继扬.(2001).On permutation symmetries of hopfield model neural network.http://dx.doi.org/10.1155/S1026022601000139.
MLA JIYANG DONG,et al."On permutation symmetries of hopfield model neural network".http://dx.doi.org/10.1155/S1026022601000139 (2001).
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