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题名: State Sampling Dependence of Hopfield Network Inference
作者: Huang, HP
刊名: COMMUNICATIONS IN THEORETICAL PHYSICS
出版日期: 2012
卷号: 57, 期号:1, 页码:169-172
关键词: NEURAL NETWORKS ;  FREE-ENERGIES ;  MODEL ;  POPULATION ;  SYSTEM
学科分类: Physics
通讯作者: Huang, HP (reprint author), Chinese Acad Sci, Inst Theoret Phys, Key Lab Frontiers Theoret Phys, Beijing 100190, Peoples R China.
部门归属: [Huang Hai-Ping] Chinese Acad Sci, Inst Theoret Phys, Key Lab Frontiers Theoret Phys, Beijing 100190, Peoples R China; [Huang Hai-Ping] Hong Kong Univ Sci & Technol, Dept Phys, Hong Kong, Hong Kong, Peoples R China
英文摘要: The fully connected Hopfield network is inferred based on observed magnetizations and pairwise correlations. We present the system in the glassy phase with low temperature and high memory load. We find that the inference error is very sensitive to the form of state sampling. When a single state is sampled to compute magnetizations and correlations, the inference error is almost indistinguishable irrespective of the sampled state. However, the error can be greatly reduced if the data is collected with state transitions. Our result holds for different disorder samples and accounts for the previously observed large fluctuations of inference error at low temperatures.
资助者: National Science Foundation of China [10774150, 10834014]; China 973-Program [2007CB935903, HKUST605010]
收录类别: SCI
语种: 英语
WOS记录号: WOS:000300404700027
Citation statistics: 
内容类型: 期刊论文
URI标识: http://ir.itp.ac.cn/handle/311006/15193
Appears in Collections:理论物理所2012年知识产出_期刊论文

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Recommended Citation:
Huang, HP. State Sampling Dependence of Hopfield Network Inference[J]. COMMUNICATIONS IN THEORETICAL PHYSICS,2012,57(1):169-172.
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