| 一种基于遗传算法的模糊神经网络结构和参数优化 |
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| 引用本文： | 周志坚 毛宗源. 一种基于遗传算法的模糊神经网络结构和参数优化[J]. 华南理工大学学报(自然科学版), 1999, 27(1): 26-32 |
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| 作者姓名： | 周志坚 毛宗源 |
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| 作者单位： | 华南理工大学自动控制工程系 |
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| 摘 要： | 提出一种基于遗传算法的三阶段优化策略。在给定初始参数基础上，利用基于十进制编码的遗传算法实现模糊神经网络的结构优化，用基于二进制编码的遗传算法实现模糊神经网络的参数优化。仿真结果表明上述优化策略是有效的。
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| 关 键 词： | 模糊神经网络 遗传算法 结构优化 参数优化 |
FUZZY NEURAL NETWORK STRUCTURE AND ITS PARAME TERS OPTIMIZATION BY GENETIC ALGORITHM |
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| Zhou Zhijian Mao Zongyuan. FUZZY NEURAL NETWORK STRUCTURE AND ITS PARAME TERS OPTIMIZATION BY GENETIC ALGORITHM[J]. Journal of South China University of Technology(Natural Science Edition), 1999, 27(1): 26-32 |
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| Authors: | Zhou Zhijian Mao Zongyuan |
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| Abstract: | An optimization strategy with three steps is presented. Based on the initial parameters that have been determined in the first step, the structure of a fuzzy neural network is optimized by using a genetic algorithm with the decimal coding scheme, and the parameters are optimized with the binary coding scheme. Numerical simulations show that the optimization strategy is available. |
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| Keywords: | fuzzy nearal network genetic algorithm structure optimization parametar optimization |
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