%0 Journal Article
%T Automatic fuzzy rule extraction based on hierarchical genetic algorithm weighted fuzzy neural networks<br>基于递阶遗传算法模糊加权神经网络的模糊规则自动获取
%A CAO Yun-feng
%A WANG Yao-cai
%A WANG Jun-wei
%A <br>曹云峰
%A 王耀才
%A 王军威
%J 计算机应用
%D 2006
%I 
%X A Weighted fuzzy neural network learning algorithm which combines a genetic algorithm based on hierarchical structure and evolutionary programming was presented. The shooting algorithm is used to optimize the Weighted fuzzy neural network structure and train the connection weights, and presented fuzzy rule extraction method from weighted fuzzy neural networks. So fuzzy rules from the trained Weighted fuzzy neural network can be automatically extracted. The analysis and experiment result show that the method in this paper performs better than other method on the rule extraction and the best classifying veracity.
%K weighted fuzzy neural network
%K fuzzy rule
%K hierarchical genetic algorithm
%K evolutionary programming<br>模糊加权神经网络
%K 模糊规则
%K 递阶遗传算法
%K 进化规划
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=B8F5D742AFCCF352&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=A48DE16C07AAAB06&eid=5656E0D885D5A042&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9