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题名: Learning by random walks in the weight space of the Ising perceptron
作者: Huang, Haiping ;  Zhou, Haijun
刊名: JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
出版日期: 2010
期号: 75, 页码:-
关键词: CONSTRAINT SATISFACTION PROBLEMS ;  NEURAL NETWORK MODELS ;  BINARY PERCEPTRON ;  STORAGE CAPACITY ;  SYNAPSES ;  ALGORITHM ;  COUPLINGS ;  PLASTICITY ;  DYNAMICS
学科分类: Physics
通讯作者: Huang, HP , Chinese Acad Sci, Key Lab Frontiers Theoret Phys, Inst Theoret Phys, Beijing 100190, Peoples R China
部门归属: [Huang, HP; Zhou, HJ] Chinese Acad Sci, Key Lab Frontiers Theoret Phys, Inst Theoret Phys, Beijing 100190, Peoples R China; [Zhou, HJ] Chinese Acad Sci, Kavli Inst Theoret Phys China, Inst Theoret Phys, Beijing 100190, Peoples R China
英文摘要: Several variants of a stochastic local search process for constructing the synaptic weights of an Ising perceptron are studied. In this process, binary patterns are sequentially presented to the Ising perceptron and are then learned as the synaptic weight configuration is modified through a chain of single- or double-weight flips within the compatible weight configuration space of the earlier learned patterns. This process is able to reach a storage capacity of alpha approximate to 0.63 for pattern length N = 101 and alpha approximate to 0.41 for N = 1001. If in addition a relearning process is exploited, the learning performance is further improved to a storage capacity of alpha approximate to 0.80 for N = 101 and alpha approximate to 0.42 for N = 1001. We found that, for a given learning task, the solutions constructed by the random walk learning process are separated by a typical Hamming distance, which decreases with the constraint density a of the learning task; at a fixed value of a, the width of the Hamming distance distribution decreases with N.
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:000281744800017
Citation statistics: 
内容类型: 期刊论文
URI标识: http://ir.itp.ac.cn/handle/311006/5072
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,Zhou, Haijun. Learning by random walks in the weight space of the Ising perceptron[J]. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT,2010(75):-.
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