| 基于遗传算法与模糊控制的建模方法 |
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| 引用本文： | 王海枚,游志胜. 基于遗传算法与模糊控制的建模方法[J]. 电子科技大学学报(社会科学版), 2002, 0(3) |
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| 作者姓名： | 王海枚 游志胜 |
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| 作者单位： | 四川大学计算机系图形图像研究所 成都610041(王海枚)，四川大学计算机系图形图像研究所 成都610041(游志胜) |
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| 摘 要： | 从实时系统的需求出发,研究利用遗传算法实现实时模糊控制的新技术,包括规则的形成、前提参数的训练,通过对比不同的训练参数规模,讨论了训练参数规模的大小与模型“范化”之间的关系。 经检验,用遗传算法生成的模糊系统模型输入变量少、规则数目少,并且误差小于多数传统算法生成的模型,整个模型的形成过程时间空间复杂度小、易于控制,且不受经验知识的约束,适用于实时系统。
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| 关 键 词： | 遗传算法 模糊控制 参数训练 模型范化 |
A New Modeling Method Based on Fuzzy Control Using GA |
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| Wang Haimei You Zhisheng. A New Modeling Method Based on Fuzzy Control Using GA[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2002, 0(3) |
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| Authors: | Wang Haimei You Zhisheng |
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| Abstract: | This article proposed a new technique using Genetic Algorithms to realize Real-time fuzzy control, discussed how to form the rules, to train the parameters, the relation between the training scale and the generalization of the model comparing results of different training scales. The model has less input parameters, less rules, and smaller errors than most of other models. It has advantages in both time and space complexity. It is easy to control, and has no restriction of experience knowledge. This method is applicable to Real-time system applications. |
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| Keywords: | genetic algorithms fuzzy control parameter training generalization ability |
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