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J-GLOBAL ID:200902052588782508
Reference number:93A0084348
An Effective Weighting Method of the Hopfield Neural Networks.
効果的なホップフィールド型ニューラルネットワークの重み決定法
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Author (1):
Material:
Volume:
75
Issue:
11
Page:
1675-1681
Publication year:
Nov. 1992
JST Material Number:
S0621A
ISSN:
0913-5707
Document type:
Article
Article type:
原著論文
Country of issue:
Japan (JPN)
Language:
JAPANESE (JA)
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JST classification
Category name(code) classified by JST.
Circuit theory in general
Reference (12):
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HOPFIELD, J. J. Neural networks and physical systems with emergent collective computational abilities. Proc. Nat. Acad. Sci. USA. 1982, 79, 2554-2558
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HOPFIELD, J. J. Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Nat. Acad. Sci. USA. 1984, 81, 3088-3092
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KOHONEN, T. Correlation Matrix Memories. IEEE Trans. Comput. 1972, C-21, 4, 353-359
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HOWARD, R. E. An Associative Memory Based on an Electronic Neural Network Architecture. IEEE Trans. Electron Devices. 1987, ED-34, 7, 1553-1555
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MCELIECE, R. J. The Capacity of the Hopfield Associative memory. IEEE Trans. Inf. Theory. 1987, IT-33, 4, 461-482
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