Presentation | 1999/11/9 Associative memory for higher order neural networks with patterns correlated to each other Shuji Yatsuki, Nobumitsu Toda, Hiromi Miyajima, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we analyze the ability of associative memory with patterns correlated to each other. Using second order neural networks, the dynamics of the network's state is not influenced by the distribution of patterns. As a result, it is shown that the ability of higher order neural networks is superior to one of the traditional model in the case where memorized patterns are correlated to each other. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | associative memory / neural networks / memory capacity / correlation learning |
Paper # | CST99-42 |
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Committee | CST |
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Conference Date | 1999/11/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Concurrent System Technology (CST) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Associative memory for higher order neural networks with patterns correlated to each other |
Sub Title (in English) | |
Keyword(1) | associative memory |
Keyword(2) | neural networks |
Keyword(3) | memory capacity |
Keyword(4) | correlation learning |
1st Author's Name | Shuji Yatsuki |
1st Author's Affiliation | Ube National College of Technology() |
2nd Author's Name | Nobumitsu Toda |
2nd Author's Affiliation | Ube National College of Technology |
3rd Author's Name | Hiromi Miyajima |
3rd Author's Affiliation | Fac. of Eng., Kagoshima University |
Date | 1999/11/9 |
Paper # | CST99-42 |
Volume (vol) | vol.99 |
Number (no) | 418 |
Page | pp.pp.- |
#Pages | 8 |
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