基于模糊神经网络方法实现茶味信号识别的研究_郑岩.pdfVIP

　 25 7 Vol. 25 No . 7　 　　2004 7 M INI- MICRO SYSTEM S 　 July 2004　　 1 2 2 郑　岩 , 周春光 , 黄艳新 1(, 100876) 2( , 130023) 　: 提出一种基于模糊 c-均值聚类( FCM)的模糊神经网络模型用于茶味信号识别的方法.该方法采用模糊 c-均值 聚类实现模糊神经网络 模糊子集及其隶属度函数的自动确定,并对模糊加权型推理法进行了改进,在此基础上构建 了一个模糊神经网络模型.通过 5种茶味信号识别的仿真实验,表明本文提出方法的有效性. : -; ; c : T P18　　　　　: A　　　　　　 : 1000-1220(2004) 07-1290-05 Taste Identification of Tea Through a Fuzzy Neural Network - Based on Fuzzy c means Clustering , - , - ZHENG Ya ZHOU Ch u gua g HUAN G Ya xi 1( Beijing University of Post and Telecommunication, Beijing 100876, China) 2(College of Comp uter Science and Technology of Jilin University , Changchun 130023, China) : - ( ) Abstract Prese ts a fuzzy eural etw ork model based o fuzzy c mea s FCM clusteri g algorithm to realize the taste ide tificatio of tea. The proposed meth od ca acquire th e fuzzy subset a d its membership fu ctio i a auto- . , . matic way with the aid of FCM clusteri g algorithm Moreover w e improve the fuzzy weighted i fere ce approach The proposed model is illust rated with the simulatio of taste ide tificatio of tea. : - ; ; Key words fuzzy c mea s clusteri g fuzzy eural etw ork taste ide tificatio . -, 1