%0 Journal Article
%T RBF equalizer based on adaptive niche hierarchy genetic algorithm<br>基于自适应小生境递阶遗传算法的RBF均衡器
%A XUE Fu-qiang
%A GE Lin-dong
%A WANG Bin
%A <br>薛富强
%A 葛临东
%A 王彬
%J 计算机应用
%D 2009
%I 
%X It is the fact that only one optimum individual can be determined by the Hierarchy Genetic Algorithm (HGA). This paper proposed a new improved hierarchy Genetic Algorithm (GA) based on the niche, in which the range of the niche could be determined by the information of the evolution. The best structure of the Radial Basis Function (RBF) neural network equalizer could be selected from several optimal solutions with the criterion of the lowest bit error rate and the best clustering degree of the hidden centers. The simulation results demonstrate that the validity and the stability of the new algorithm.
%K niche
%K Hierarchy Genetic Algorithm (HGA)
%K Radial Basis Function (RBF) neural network
%K equalizer<br>小生境
%K 递阶遗传算法
%K RBF神经网络
%K 均衡器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=76A29F55BFD84627181FD4AC277B59B7&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=E158A972A605785F&sid=42AB3C691163F5B1&eid=08628F47AB73D65E&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=12