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J-GLOBAL ID：200902288584183484   Reference number：03A0868056

A Novel Learning Algorithm Which Makes Multilayer Neural Networks Multiple-Weight-Fault Tolerant

多層ニューラルネットワークを多重重み耐故障性とする新しい学習アルゴリズム

Author (2)： TAKANAMI I (Ichinoseki National Coll. Technol., Ichinoseki-shi, JPN) ,  OYAMA Y (Digital Culture Technol. Co., Morioka-shi, JPN)
Material： IEICE Transactions on Information and Systems (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Inf Syst (Inst Electron Inf Commun Eng))
Volume： E86-D  Issue： 12  Page： 2536-2543  Publication year： Dec. 01, 2003 
JST Material Number： L1371A  ISSN： 0916-8532  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *neural network (network) ,...
Semi thesaurus term： 耐故障性

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JST classification (1)： Artificial intelligence  (JE08000Z)

Reference (15)：

• PHATAK, D. S. Complete and partial fault tolerance of feedforward neuralnets. IEEE Trans. Neural Netw. 1995, 6, 2, 446-456
• FAHLMAN, S. E. Neural nets learning algorithms and benchmarks database
• NIJHUIS, J. Limits to the fault-tolerance of a feedforward neural network with learning. FTCS, 1990. 1990, 228-235
• TAN, Y. A fault-tolerant multi-layer neural network model and its properties. IEICE Trans. Inf. & Syst. 1993, J76-D-I, 7, 380-389
• HAMMADI, N. C. A learning algorithm for fault tolerant feedforward neural networks. IEICE Trans. Inf. & Syst. 1997, E80-D, 1, 21-27

Terms in the title (4)： 多層ニューラルネットワーク ,  多重 ,  耐故障性 ,  学習アルゴリズム