%0 Journal Article
%T Identification of tea taste signals based on fuzzy rule generation algorithm<br>基于模糊规则自动生成算法的茶味觉信号识别
%A MA Ming
%A ZHANG Li-biao
%A <br>马铭
%A 张利彪
%J 计算机应用
%D 2007
%I 
%X After the deep study of weighted fuzzy neural networks and particle swarm optimization algorithm, a pruning algorithm was proposed to optimize the fuzzy rules automatically. The fuzzy neural network was constructed on the basis of the effective rules obtained through fuzzy rules searching. Numerical simulations for taste identification of tea show the effectiveness of the proposed algorithm.
%K fuzzy rule
%K particle swarm optimization
%K weighted fuzzy neural network
%K taste identification<br>模糊规则
%K 微粒群算法
%K 模糊加权神经网络
%K 味觉识别
%K 模糊规则
%K 自动
%K 生成算法
%K 味觉信号识别
%K generation
%K algorithm
%K fuzzy
%K rule
%K based
%K signals
%K taste
%K 有效性
%K 实验验证
%K 仿真
%K 网络模型
%K 剪枝算法
%K 微粒群算法
%K 模糊加权神经网络
%K 研究
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512001BF6F84692DC09&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=EB8E83807F36F05B&eid=E5ED9059DE792E50&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=12