基于模糊神经网络的模式识别方法  

The Method of Model Recognition Based on the Fuzzy Neural Networks

作　　者：张明路[1] 王卫平[2] 刘宇红[1] 吴晓龙[1] 

机构地区：[1]河北工业大学机械学院,天津300130 [2]保定高级技工学院,河北保定071000

出　　处：《河北工业大学学报》2001年第4期9-13,共5页Journal of Hebei University of Technology

基　　金：天津市自然科学基金资助项目(003601211);河北省攻关计划资助项目(00547001D-18)

摘　　要：讨论了３种模糊神经元和由其构成的模糊神经网络的基本原理及其学习和自适应机制，针对模糊模式识别问题，建立了一种基于ＢＰ学习算法的模糊神经网络模式识别系统，该系统兼有模糊逻辑控制和神经网络两种技术的优点，提高了模糊模式识别的准确性．The basic composition and learning and self-adaptive principle of three types of fuzzy neural joints and the fuzzy neural networks composed by these.hay neural joints are analyzed in this paper. A new fuzzy neural network system based on BP learning algorithm for fuzzy model recognition is established. This recog- nition system has advantages both fuzzy logic and neural network and the recognition reliable are improved.

关 键 词：模式识别 模糊逻辑 模糊神经网络 模糊神经元 原理 学习机制 自适应机制 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TP183[自动化与计算机技术—计算机科学与技术]