| 一种基于模糊聚类和遗传算法的模糊神经网络模型的学习算法 |
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| 引用本文： | 姚宏伟,梅晓榕,庄显义.一种基于模糊聚类和遗传算法的模糊神经网络模型的学习算法[J].哈尔滨商业大学学报(自然科学版),1999(1). |
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| 作者姓名： | 姚宏伟 梅晓榕 庄显义 |
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| 作者单位： | 哈尔滨工业大学控制工程系 |
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| 摘 要： | 提出了一种基于模糊聚类和遗传算法的模糊神经网络的学习算法，采用 模糊Ｃ－均值聚类算法进行模糊神经网络模型的结构辨识，得出最优或次优的模 糊规则数，采用改进的遗传算法进行系数辨识。仿真结果证明该算法是可行和有 效的。
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| 关 键 词： | 模糊聚类 遗传算法 系统辨识 |
A LEARNTNG ALGORITHMS OF FUZZY NEURAL NETWORK BASED ON FUZZY CLUSTERING AND GENETIC ALGORITHMS |
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| Yao Hongwei, Mei Xiaorong, Zhuang Xianyi.A LEARNTNG ALGORITHMS OF FUZZY NEURAL NETWORK BASED ON FUZZY CLUSTERING AND GENETIC ALGORITHMS[J].Journal of Harbin University of Commerce :Natural Sciences Edition,1999(1). |
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| Authors: | Yao Hongwei Mei Xiaorong Zhuang Xianyi |
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| Abstract: | In this paper, a new learning algorithms of fuzzy neural network and genetic algorithms is presented. In structure idenfication, the optimal or near optimal number of fuzzy neural network implication is determined in the view of fuzzy cmeans clustering. The parameters are identified by a improved genetic algorithms. Computer simalations show that the algorithms is feasible and efficient. |
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| Keywords: | Fuzzuy neural network fuzzy cluster genetic algorithms identification |
| 本文献已被 CNKI 等数据库收录！ |
