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J-GLOBAL ID：200902118203266807   Reference number：02A0479933

A Forward-Propagation Learning Rule for Acquiring Inverse Models in Multi-Layered Neural Networks.

多層神経回路が逆モデルを学習するためのForward-propagation則

Author (3)： NAGASAWA KAZUYUKI (豊橋技科大) ,  FUKUMURA NAOHIRO (豊橋技科大) ,  UNO YOJI (豊橋技科大)
Material： 電子情報通信学会論文誌 D-2  (IEICE Transactions on Information and Systems, Pt.2 (Japanese Edition))
Volume： J85-D-2  Issue： 6  Page： 1066-1074  Publication year： Jun. 01, 2002 
JST Material Number： L0197A  ISSN： 0915-1923  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： multistory structure ,...
Semi thesaurus term： *neural network model ,...

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JST classification (2)： Brain and nervous system models  (EL02050C) ,  Artificial intelligence  (JE08000Z)

Reference (18)：

• RUMELHART, D. E. Learning internal representations by error propagation. Parallel Distributed Processing. 1986, 1, 318-326
• RUMELHART, D. E. Learning representations by back-propagation errors. Nature. 1986, 323, 533-536
• 川人光男. 脳の計算理論. 1996, 119-141
• ALBUS, J. S. A new approach to manipulator control: The cerebellar model articulation controller (CMAC). Trans. ASME J. Dynamic Systems, Measurement, and Control. 1975, 97, 270-277
• KUPERSTEIN, M. Neural model of adaptive hand-eye coordination for single posture. Science. 1988, 239, 1308-1311

Terms in the title (4)： 多層 ,  神経回路 ,  モデル ,  学習