Presentation | 1997/3/17 An Associative Memory using Complex-Valued Neural Networks and It's Ability N. Hashimoto, Y. Kuroe, Y. Mori, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a model of associative memory with complex-valued neural networks and analyze it's ability. The proposed model is a complex associative memory of self association type with orthogonal vector as memory vector, and the correlation matrix as the weight matrix. The analysis is (done from the view point of stability of the memory pattern. A condition which assures that all the memory patterns are correctly recalled is obtained. By numerical experiments, we show the validity of the obtained analysis results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | complex-valued neural network / associative memory / stability of memory patterns |
Paper # | NC96-122 |
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Conference Information | |
Committee | NC |
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Conference Date | 1997/3/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Associative Memory using Complex-Valued Neural Networks and It's Ability |
Sub Title (in English) | |
Keyword(1) | complex-valued neural network |
Keyword(2) | associative memory |
Keyword(3) | stability of memory patterns |
1st Author's Name | N. Hashimoto |
1st Author's Affiliation | Department of Electronics and Information Science Faculty of Engineering and Design Kyoto Institute of Technology() |
2nd Author's Name | Y. Kuroe |
2nd Author's Affiliation | Department of Electronics and Information Science Faculty of Engineering and Design Kyoto Institute of Technology |
3rd Author's Name | Y. Mori |
3rd Author's Affiliation | Department of Electronics and Information Science Faculty of Engineering and Design Kyoto Institute of Technology |
Date | 1997/3/17 |
Paper # | NC96-122 |
Volume (vol) | vol.96 |
Number (no) | 583 |
Page | pp.pp.- |
#Pages | 8 |
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