Art

J-GLOBAL ID：200902264798874828   Reference number：08A0400591

Learning and recognition of hierarchical temporal series based on BESOM model

BESOMモデルに基づく階層的時系列の学習と認識

Author (1)： HOSOYA HARUO (東大 理)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 107  Issue： 542(NC2007 112-199)  Page： 151-156  Publication year： Mar. 05, 2008 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *neural network (biomodel) ,...
Semi thesaurus term： Bayesian network ,...

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JST classification (1)： Brain and nervous system models  (EL02050C)

Reference (16)：

• ALEXANDER, G. E. Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annual Review of Neuroscience. 1986, 9, 357-381
• CLEEREMANS, A. Finite state automata and simple recurrent networks. Neural Computation. 1989, 1, 372-381
• ELMAN, J. L. Finding structure in time. Cognitive Science. 1990, 14, 2, 179-211
• GEORGE, D. A hierarchical Bayesian model of invariant pattern recognition in the visual cortex. Proceedings of International Joint Conference on Neural Networks, 2005. 2005
• ICHISUGI, Y. A cerebral cortex model that self-organizes conditional probability tables and executes belief propagation. International Joint Conference on Neural Networks (IJCNN 2007). 2007, 178-183

Terms in the title (3)： モデル ,  時系列 ,  学習