%0 Journal Article
%T VQ BASED ON GENETIC ALGORITHM<br>基于遗传算法的矢量量化
%A Tu Chengjie
%A Guo Li
%A Zhu Chen
%A <br>涂承杰
%A 郭立
%A 朱琛
%J 电子与信息学报
%D 1998
%I 
%X A new vector quantization(VQ) approach based on genetic algorithm(GA) is presented in this paper. VQ codebook design is essentially a classification of training vectors. Because of GA's global optimum ability, using GA for codebook training can obstain a global optimum codebook, and overcome local optimum limitation of traditional algorithms. This method is also independent on initial conditions, more robust, highly regular and parallel in architecture.
%K Vector quantization
%K Genetic algorithm
%K Fitness function
%K Classification<br>矢量量化
%K 遗传算法
%K 适应度函数
%K 分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=14A8F3308E256423B32505C1F35F94A7&yid=8CAA3A429E3EA654&vid=A04140E723CB732E&iid=E158A972A605785F&sid=12AD09BCF4A6E651&eid=90075EB19043D533&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=4