ITP OpenIR  > 理论物理所1978-2010年知识产出
Dynamics of a neural network model with finite connectivity and cycle stored patterns
Ji, DY; Hu, BL; Chen, TL; Ji, DY , NANKAI UNIV,DEPT PHYS,TIANJIN 300071,PEOPLES R CHINA.
1996
发表期刊PHYSICA A
ISSN0378-4371
卷号229期号:2页码:147-165
摘要The spatiotemporal evolution and memory retrieval properties of a Hopfield-like neural network with cycle-stored patterns and finite connectivity are studied. The analytical studies on a mean-field version show that, given the number of stored patterns p, there is a critical connectivity k(c) such that the retrieval states are stable Bred points if and only if k > k(c). The dependence of k(c) on the number of stored patterns is also present. The numerical simulations are applied to the short-ranged model with local interaction. It is revealed that, given p, the memory retrieval function is kept if the connectivity is high enough while the dynamics of the system is in the frozen phase. However when the connectivity k is less than a critial value k(c) the system is in the chaotic phase and loses its memory retrieval ability. The critical points of both the dynamical phase transition and memory-loss phase transition are obtained by simulation data.
部门归属CCAST,WORLD LAB,BEIJING 100080,PEOPLES R CHINA; ACAD SINICA,INST THEORET PHYS,BEIJING 100080,PEOPLES R CHINA
关键词Phase-transitions Memory Automata Search
学科领域Physics
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收录类别SCI
文献类型期刊论文
条目标识符http://ir.itp.ac.cn/handle/311006/12607
专题理论物理所1978-2010年知识产出
通讯作者Ji, DY , NANKAI UNIV,DEPT PHYS,TIANJIN 300071,PEOPLES R CHINA.
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Ji, DY,Hu, BL,Chen, TL,et al. Dynamics of a neural network model with finite connectivity and cycle stored patterns[J]. PHYSICA A,1996,229(2):147-165.
APA Ji, DY,Hu, BL,Chen, TL,&Ji, DY , NANKAI UNIV,DEPT PHYS,TIANJIN 300071,PEOPLES R CHINA..(1996).Dynamics of a neural network model with finite connectivity and cycle stored patterns.PHYSICA A,229(2),147-165.
MLA Ji, DY,et al."Dynamics of a neural network model with finite connectivity and cycle stored patterns".PHYSICA A 229.2(1996):147-165.
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