Presentation | 2005/7/20 A Hybrid Real-Coded Genetic Algorithm with Pruning Hong ZHANG, Masumi ISHIKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a novel method that introduces pruning into the proposed hybrid real-coded genetic algorithm with local search based on the regularization for acquaring a classification model with good generalization. Consequently, it is able to expect to obtain a classfication model which has higher generalization. To demonstrate effectiveness of the proposed method, we carry out simulation experiments on iris classification problem. Based on the Spearman's rank correlation coefficient between the classification rates of obtained classification models for training data and test data, we investigate the performance of the classification models obtained. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | real-coded genetic algorithm / local search / global search / pattern classification / generalization / pruning |
Paper # | NC2005-32 |
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Committee | NC |
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Conference Date | 2005/7/20(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) | A Hybrid Real-Coded Genetic Algorithm with Pruning |
Sub Title (in English) | |
Keyword(1) | real-coded genetic algorithm |
Keyword(2) | local search |
Keyword(3) | global search |
Keyword(4) | pattern classification |
Keyword(5) | generalization |
Keyword(6) | pruning |
1st Author's Name | Hong ZHANG |
1st Author's Affiliation | Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology() |
2nd Author's Name | Masumi ISHIKAWA |
2nd Author's Affiliation | Graduate School of Life Science & Systems Engineering Kyushu Institute of Technology |
Date | 2005/7/20 |
Paper # | NC2005-32 |
Volume (vol) | vol.105 |
Number (no) | 211 |
Page | pp.pp.- |
#Pages | 6 |
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