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基于改进DCL算法的模糊控制规则提取

Fuzzy Control Rule Extraction Based on Improved DCL Algorithm
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摘要 文章以机器人的模糊控制为背景,基于Kohonen自组织竞争网络和改进的DCL算法,从输入输出数据中提取模糊控制规则,所得结果明显优于Kong和Kosko[1]的结果。 In this paper,fuzzy control rules are extracted automatically from the input and output data based on Kohonen self-organizing competitive network and improved DCL algorithm on a robot fuzzy control background.The results are better evidently than corresponding results in Kong and Kosko's.
出处 《计算机工程与应用》 CSCD 北大核心 2006年第3期215-216,221,共3页 Computer Engineering and Applications
关键词 DCL算法 KOHONEN网络 模糊控制 规则提取 DCL algorithm,Kohonen network,fuzzy control,rule extraction
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参考文献4

  • 1Kong S G,Kosko B.Adaptive fuzzy systems for backing up a truck- and-trailer[J].IEEE Trans on Neural Networks, 1992, 3 (2).
  • 2L M Fu.Rule generation from neural networks[J].IEEE Trails Syst Man Cybem, 1994;24(8).
  • 3L D Alahakoon,S K Halgamuge.Dynamic self-organizing maps with controlled growth for knowledge discovery[J],IEEE Trans on Neural Networks, 2000 , 11 (3).
  • 4Y Q Zhang et al.Granular neural networks for numerical-linguistic data fusion and knowledge diseovery[J],lEEE Trans on neural networks, 2000;11(3).

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