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题名: Message passing algorithms for the Hopfield network reconstruction: Threshold behavior and limitation
作者: Huang, Haiping
刊名: PHYSICAL REVIEW E
出版日期: 2010
卷号: 82, 期号:5, 页码:-
关键词: NEURAL-NETWORKS ;  STATISTICAL PHYSICS ;  CORTICAL NETWORKS ;  PRIMATE RETINA ;  GLASS MODELS ;  PATTERNS ;  CONNECTIVITY ;  POPULATION ;  STATES
学科分类: Physics
通讯作者: Huang, HP , Chinese Acad Sci, Inst Theoret Phys, Key Lab Frontiers Theoret Phys, Beijing 100190, Peoples R China
部门归属: Chinese Acad Sci, Inst Theoret Phys, Key Lab Frontiers Theoret Phys, Beijing 100190, Peoples R China
英文摘要: The Hopfield network is reconstructed as an inverse Ising problem by passing messages. The applied susceptibility propagation algorithm is shown to improve significantly on other mean-field-type methods and extends well into the low-temperature region. However, this iterative algorithm is limited by the nature of the supplied data. Its performance deteriorates as the data become highly magnetized, and this method finally fails in the presence of the frozen type data where at least two of its magnetizations are equal to 1 in absolute value. On the other hand, a threshold behavior is observed for the susceptibility propagation algorithm and the transition from good reconstruction to poor one becomes sharper as the network size increases.
资助者: National Science Foundation of China[10774150, 10834014]; China 973-Program[2007CB935903]
收录类别: SCI
原文出处: 查看原文
WOS记录号: WOS:000284207900001
Citation statistics: 
内容类型: 期刊论文
URI标识: http://ir.itp.ac.cn/handle/311006/5008
Appears in Collections:理论物理所1978-2010年知识产出_期刊论文

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Huang, Haiping. Message passing algorithms for the Hopfield network reconstruction: Threshold behavior and limitation[J]. PHYSICAL REVIEW E,2010,82(5):-.
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