Presentation | 2009-05-15 Parameter Adjusting of the Chaotic Search Method to Multiple Sequence Alignment Takafumi MATSUURA, Tohru IKEGUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | An algorithm for solving combinatorial optimization problems by chaotic neurodynamics has already been proposed and exhibited high performance for solving TSP, QAP, and MEP (Motif Extraction Problem). Although we have already clarified that its high searching ability depends on a statistical property of refractory effects in a chaotic neuron, it is difficult to find optimal parameters of the refractory effect. To find the parameters easily, we have to clarify how much the refractory effect affects for the searching process. In this report, we analyze the refractory effect from the view point of influence of the refractory effect. In addition, we propose a parameter adjusting method to control influence of the refractory for MEP. As a result, we could find the motifs for several values of parameters. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Combinatorial Optimization Problem / Chaotic Neural Network / Parameter Adjusting Method |
Paper # | NLP2009-10 |
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Conference Information | |
Committee | NLP |
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Conference Date | 2009/5/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Parameter Adjusting of the Chaotic Search Method to Multiple Sequence Alignment |
Sub Title (in English) | |
Keyword(1) | Combinatorial Optimization Problem |
Keyword(2) | Chaotic Neural Network |
Keyword(3) | Parameter Adjusting Method |
1st Author's Name | Takafumi MATSUURA |
1st Author's Affiliation | Graduate School of Science and Engineering, Saitama University() |
2nd Author's Name | Tohru IKEGUCHI |
2nd Author's Affiliation | Graduate School of Science and Engineering, Saitama University |
Date | 2009-05-15 |
Paper # | NLP2009-10 |
Volume (vol) | vol.109 |
Number (no) | 30 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |