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受ELSE规则支配的模糊LMS算法
引用本文:李卫军,余庆军,谢胜利.受ELSE规则支配的模糊LMS算法[J].华南理工大学学报(自然科学版),2007,35(5):6-9.
作者姓名:李卫军  余庆军  谢胜利
作者单位:华南理工大学,电子与信息学院,广东,广州,510640
基金项目:国家杰出青年科学基金资助项目(60325310),国家自然科学基金重点资助项目(U0635001),广东省自然科学基金团队研究项目(04205783),科技部重大基础前期研究专项(2005CCA04100),中国博士后科学基金资助项目(20060390728)
摘    要:针对FSS-LMS算法推理机制不全和算法运算量大的问题,提出了一种新的受ELSE规则支配的模糊LMS算法.ELSE规则的存在使得在任何输入数据条件下都能成功执行推理机制,而且运算量大为减少.与其它模糊LMS算法相比,该算法所建立的模糊规则更加简单和可靠.实验结果表明,该算法不仅具有更少的计算量,而且比其它的模糊LMS算法以及其它传统的LMS算法具有更好的性能.

关 键 词:模糊逻辑  FSS-LMS算法  FIRE-LMS算法  ELSE规则
文章编号:1000-565X(2007)05-0006-04
修稿时间:2006-04-14

Fuzzy LMS Algorithm Dominated by ELSE-Action
Li Wei-jun,Yu Qing-jun,Xie Sheng-li.Fuzzy LMS Algorithm Dominated by ELSE-Action[J].Journal of South China University of Technology(Natural Science Edition),2007,35(5):6-9.
Authors:Li Wei-jun  Yu Qing-jun  Xie Sheng-li
Institution:School of Electronic and Information Engineering, South China Univ. of Tech. , Guangzhou 510640, Guangdong, China
Abstract:In order to overcome the incomplete inference mechanism and great computational complexity in FSS-LMS algorithm,a new fuzzy LMS algorithm dominated by ELSE-action is presented.In the presence of an ELSE rule, the inference mechanism can be successfully executed with slight computational complexity in any input data conditions.As compared with other fuzzy LMS algorithms,the proposed algorithm is better because it constructs a simpler and more reliable fuzzy rule.Experimental results show that the proposed algorithm is of not only less computational complexity but also better performances than other fuzzy LMS algorithms and other conventional LMS algorithms.
Keywords:fuzzy logic  FSS-LMS algorithm  FIRE-LMS algorithm  ELSE-action
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