Presentation | 2008-06-27 A Learning Algorithm of Binary Neural Networks Based on Real-Coded GA Yu AKEDO, Hidehiro NAKANO, Arata MIYAUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a learning algorithm of Binary Neural Networks (BNNs) based on real-coded genetic algorithm. The algorithm encodes parameters of hidden layer neurons as individuals consisting of real number vectors. The proposed algorithm can reduce the number of hidden layer neurons and has high generalization ability, comparing with the conventional algorithm. Through basic numerical experiments, we verify the advantages of the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | 3 layer BNNs / GA-based learning / Real-coded GA / Generalization Ability / Supervised learning |
Paper # | NC2008-26 |
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Committee | NC |
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Conference Date | 2008/6/19(1days) |
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Topics (in Japanese) | (See Japanese page) |
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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) | A Learning Algorithm of Binary Neural Networks Based on Real-Coded GA |
Sub Title (in English) | |
Keyword(1) | 3 layer BNNs |
Keyword(2) | GA-based learning |
Keyword(3) | Real-coded GA |
Keyword(4) | Generalization Ability |
Keyword(5) | Supervised learning |
1st Author's Name | Yu AKEDO |
1st Author's Affiliation | Musashi Institute of Technology() |
2nd Author's Name | Hidehiro NAKANO |
2nd Author's Affiliation | Musashi Institute of Technology |
3rd Author's Name | Arata MIYAUCHI |
3rd Author's Affiliation | Musashi Institute of Technology |
Date | 2008-06-27 |
Paper # | NC2008-26 |
Volume (vol) | vol.108 |
Number (no) | 101 |
Page | pp.pp.- |
#Pages | 4 |
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