Presentation | 2012-12-12 An Application of Dynamic Binary Networks: Learning of Switching Signals of Matrix Converters Yuta Nakayama, Toshimichi Saito, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper studies a dynamic binary neural networks (DBNN) and its learning of periodic binary sequence. As an application of object, we study matrix AC/AC converter which is a representative power electronics circuit. We propose the learning of teacher signal corresponding to switching signals of the matrix converter. The learning algorithm uses the genetic algorithm (GA) whose chromosomes correspond to parameters of the network. We then consider learning process and confirm storage and stability of the teacher signal. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Binary Neural Networks / Dinamic Binary Neural Networks / Matrix Converter / Genetic Algorithm |
Paper # | NC2012-76 |
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Committee | NC |
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Conference Date | 2012/12/5(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | An Application of Dynamic Binary Networks: Learning of Switching Signals of Matrix Converters |
Sub Title (in English) | |
Keyword(1) | Binary Neural Networks |
Keyword(2) | Dinamic Binary Neural Networks |
Keyword(3) | Matrix Converter |
Keyword(4) | Genetic Algorithm |
1st Author's Name | Yuta Nakayama |
1st Author's Affiliation | Hosei University() |
2nd Author's Name | Toshimichi Saito |
2nd Author's Affiliation | Hosei University |
Date | 2012-12-12 |
Paper # | NC2012-76 |
Volume (vol) | vol.112 |
Number (no) | 345 |
Page | pp.pp.- |
#Pages | 6 |
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