CAJ | 학술논문

DE优化模糊神经网络算法是一种利用模糊神经网络控制器进行计算的方式，该算法避免了以往DE模糊神经网络连接权值和阈值选择上的随机性缺陷，从而能发挥DE模糊神经网络泛化的映射能力。本文就DE优化模糊神经系统在无刷直流电机控制系统中的应用，进行了系统的研究和探讨。
DE우화모호신경망락산법시일충이용모호신경망락공제기진행계산적방식，해산법피면료이왕DE모호신경망락련접권치화역치선택상적수궤성결함，종이능발휘DE모호신경망락범화적영사능력。본문취DE우화모호신경계통재무쇄직류전궤공제계통중적응용，진행료계통적연구화탐토。
DE optimization algorithm of fuzzy neural network is a kind of calculation method which uses fuzzy neural network controller; the algorithm can avoid the DE fuzzy neural network connection weights and threshold selection of random defects, and the mapping ability of network generalization is displayed. The paper discusses the application of DE optimal fuzzy neural system in Brushless DC motor control system.