State Sampling Dependence of Hopfield Network Inference
文献类型:期刊论文
作者 | Huang, HP |
刊名 | COMMUNICATIONS IN THEORETICAL PHYSICS
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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 |
ISSN号 | 0253-6102 |
通讯作者 | Huang, HP (reprint author), Chinese Acad Sci, Inst Theoret Phys, Key Lab Frontiers Theoret Phys, Beijing 100190, 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. |
学科主题 | Physics |
收录类别 | SCI |
资助信息 | National Science Foundation of China [10774150, 10834014]; China 973-Program [2007CB935903, HKUST605010] |
语种 | 英语 |
WOS记录号 | WOS:000300404700027 |
公开日期 | 2014-04-25 |
源URL | [http://ir.itp.ac.cn/handle/311006/15193] ![]() |
专题 | 理论物理研究所_理论物理所1978-2010年知识产出 |
推荐引用方式 GB/T 7714 | Huang, HP. State Sampling Dependence of Hopfield Network Inference[J]. COMMUNICATIONS IN THEORETICAL PHYSICS,2012,57(1):169-172. |
APA | Huang, HP.(2012).State Sampling Dependence of Hopfield Network Inference.COMMUNICATIONS IN THEORETICAL PHYSICS,57(1),169-172. |
MLA | Huang, HP."State Sampling Dependence of Hopfield Network Inference".COMMUNICATIONS IN THEORETICAL PHYSICS 57.1(2012):169-172. |
入库方式: OAI收割
来源:理论物理研究所
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