| 基于模糊理论和遗传算法的神经网络权值优化 |
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| 引用本文： | 李钰,孔凡国. 基于模糊理论和遗传算法的神经网络权值优化[J]. 上海工程技术大学学报, 2007, 21(2): 130-133. DOI: 10.3969/j.issn.1009-444X.2007.02.009 |
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| 作者姓名： | 李钰 孔凡国 |
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| 作者单位： | 五邑大学,机电工程系,广东江门,529020;五邑大学,机电工程系,广东江门,529020 |
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| 摘 要： | 基于遗传算法的神经网络权值优化的研究和应用,已经得到了很大的发展.但是现有的算法仍存在一些缺陷,容易陷入局部解且收敛缓慢.为此结合模糊理论提出了一种改进的遗传算法来实现神经网络的权值优化,并用实例证明了此算法的可行性和有效性.
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| 关 键 词： | 遗传算法 神经网络 模糊理论 |
| 文章编号： | 1009-444X（2007）02-0130-04 |
| 收稿时间： | 2007-03-10 |
| 修稿时间： | 2007-03-10 |
Optimization of Neural Network Based on Fuzzy Theory and Genetic Algorithm |
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| LI Yu,KONG Fanguo. Optimization of Neural Network Based on Fuzzy Theory and Genetic Algorithm[J]. Journal of Shanghai University of Engineering Science, 2007, 21(2): 130-133. DOI: 10.3969/j.issn.1009-444X.2007.02.009 |
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| Authors: | LI Yu KONG Fanguo |
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| Affiliation: | Dept. of Meehatronies, Wuyi University, Jiangmen 529020,China |
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| Abstract: | The research and application of optimization of neural network based on genetic algorithm have made great progress.However,there is still some shortcomings: relapsing into local optimal solution easily and the convergence is too slow.Combining with fuzzy theory,an improved genetic algorithm which can realize the optimization of neural network was presented.Also the feasibility and availability of the algorithm were proved by an example. |
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| Keywords: | genetic algorithm neural network fuzzy theory |
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