Presentation | 2002/6/18 Noise Supplement Learning for Associative Memories Composed of Multilayer Perceptrons and Sparsely Interconnected Neural Networks Yusuke MAGORI, Takeshi KAMIO, Mititada MORISUE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, we have proposed associative memories composed of multilayer perceptrons (MLPs) and sparsely interconnected neural networks (SINNs), named MLP-SINN. Our proposed associative memories are suitable for hardware implementation and have better performance than both MLPs and SINNs. However, the capabilities of MLP and SINN are not effectively used in the conventional MLP-SINN, because they are synthesized independently. In this report, we propose the noise supplement learning for MLP-SINN associative memories to improve them. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Associateve Memories / Multilayer Perceptrons / Sparsely Interconnected Neural Networks / Noise Supplement Learning |
Paper # | NLP2002-21 |
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Committee | NLP |
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Conference Date | 2002/6/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Noise Supplement Learning for Associative Memories Composed of Multilayer Perceptrons and Sparsely Interconnected Neural Networks |
Sub Title (in English) | |
Keyword(1) | Associateve Memories |
Keyword(2) | Multilayer Perceptrons |
Keyword(3) | Sparsely Interconnected Neural Networks |
Keyword(4) | Noise Supplement Learning |
1st Author's Name | Yusuke MAGORI |
1st Author's Affiliation | Department of Information Machines and Interfaces, Faculty of Information Sciences, Hiroshima City University() |
2nd Author's Name | Takeshi KAMIO |
2nd Author's Affiliation | Department of Information Machines and Interfaces, Faculty of Information Sciences, Hiroshima City University |
3rd Author's Name | Mititada MORISUE |
3rd Author's Affiliation | Department of Information Machines and Interfaces, Faculty of Information Sciences, Hiroshima City University |
Date | 2002/6/18 |
Paper # | NLP2002-21 |
Volume (vol) | vol.102 |
Number (no) | 142 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |