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Combined local search strategy for learning in networks of binary synapses
Huang, HP; Zhou, HJ; Huang, HP (reprint author), Chinese Acad Sci, Key Lab Frontiers Theoret Phys, Inst Theoret Phys, Beijing 100190, Peoples R China.
2011
发表期刊EPL
ISSN0295-5075
卷号96期号:5页码:58003
摘要Learning in networks of binary synapses is known to be an NP-complete problem. A combined stochastic local search strategy in the synaptic weight space is constructed to further improve the learning performance of a single random walker. We apply two correlated random walkers guided by their Hamming distance and associated energy costs (the number of unlearned patterns) to learn a same large set of patterns. Each walker first learns a small part of the whole pattern set (partially different for both walkers but with the same amount of patterns) and then both walkers explore their respective weight spaces cooperatively to find a solution to classify the whole pattern set correctly. The desired solutions locate at the common parts of weight spaces explored by these two walkers. The efficiency of this combined strategy is supported by our extensive numerical simulations and the typical Hamming distance as well as energy cost is estimated by an annealed computation. Copyright (C) EPLA, 2011
部门归属[Huang, Haiping; Zhou, Haijun] Chinese Acad Sci, Key Lab Frontiers Theoret Phys, Inst Theoret Phys, Beijing 100190, Peoples R China; [Zhou, Haijun] Chinese Acad Sci, Kavli Inst Theoret Phys China, Inst Theoret Phys, Beijing 100190, Peoples R China; [Huang, Haiping] Hong Kong Univ Sci & Technol, Dept Phys, Hong Kong, Hong Kong, Peoples R China
关键词Perceptron Problem Memory Rules
学科领域Physics
资助者NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010]
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收录类别SCI
语种英语
资助者NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010] ; NSFC [10834014]; 973-Program [2007CB935903, HKUST 605010]
WOS记录号WOS:000298131900043
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被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.itp.ac.cn/handle/311006/14223
专题理论物理所SCI论文
通讯作者Huang, HP (reprint author), Chinese Acad Sci, Key Lab Frontiers Theoret Phys, Inst Theoret Phys, Beijing 100190, Peoples R China.
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Huang, HP,Zhou, HJ,Huang, HP . Combined local search strategy for learning in networks of binary synapses[J]. EPL,2011,96(5):58003.
APA Huang, HP,Zhou, HJ,&Huang, HP .(2011).Combined local search strategy for learning in networks of binary synapses.EPL,96(5),58003.
MLA Huang, HP,et al."Combined local search strategy for learning in networks of binary synapses".EPL 96.5(2011):58003.
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