| 一种基于GA-BP混合算法的模糊神经网络控制器 |
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| 引用本文： | 张素文,汪丽丽,陈尹萍,苗丹丹. 一种基于GA-BP混合算法的模糊神经网络控制器[J]. 电气自动化, 2008, 30(2): 3-5 |
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| 作者姓名： | 张素文 汪丽丽 陈尹萍 苗丹丹 |
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| 作者单位： | 武汉理工大学自动化学院,湖北武汉,430070;武汉大学东胡分校,湖北武汉,430212;武汉大学资源与环境学院,湖北武汉,430070 |
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| 摘 要： | 提出一种用于优化模糊神经网络控制器参数的GA—BP混合算法，该算法一方面由遗传算法保证学习的全局收敛性，克服梯度法对初始值的依赖性和局部收敛问题；另一方面，与“精确的”梯度学习算法的结合也克服了单纯遗传算法所带有的随机性和概率性问题，有助于提高它的搜索效率。仿真结果证明了算法的有效性。
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| 关 键 词： | 遗传算法 BP算法 GA-BP混合算法 模糊神经网络 |
A Fuzzy Neural Network Controller Based on GA-BP Hybrid Algorithm |
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| Zhang Suwen,Wang Lili,Cheng Yinping,Miao Dandan. A Fuzzy Neural Network Controller Based on GA-BP Hybrid Algorithm[J]. Electrical Automation, 2008, 30(2): 3-5 |
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| Authors: | Zhang Suwen Wang Lili Cheng Yinping Miao Dandan |
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| Affiliation: | Zhang Suwen ,Wang Lili,Cheng Yinping,Miao Dandan( School of Automation, Wuhan University of Technology, Hubei Wuhan 430070, China; Donghu College, Wuhan University, Hubei Wuhan 430212, China;School of Resource and Environmental Science, Wuhan University, Hubei Wuhan 430070, China) |
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| Abstract: | This paper presents a hybrid GA-BP algorithm for optimizing fuzzy neural network controller parameters, by which global convergence is guaranteed by the genetic algorithm, overcomes the dependency of gradient method on the initial conditions of the fuzzy neural network and part convergence problem and to improve the efficiency of the searching progress. Simulation results show high efficiency of the proposed method. |
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| Keywords: | genetic algorithm BP algorithm GA-BP hybrid algorithm fuzzy neural network |
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