太原理工大学学报2011，Vol.42Issue(4)：357-359,364,4.
基于动态模糊神经网络的电力谐波精确测量
Precision Meaturement of Power Harmonic Based on DFNN
摘要
Abstract
Abstract :IFNN was used to meature power harmonic in this paper. Structure of DFNN was regulated by error drop rate and parameters of DFNN were regulated by classification learning. The DFNN changed dynamically in compact structure form, provented. Overfitting and overtraining, and there fore enhanced generalization ability. Simulation proved the measurement accuracy of the method.关键词
谐波/动态模糊神经网络/修剪技术Key words
harmonic/DFNN/trim technique分类
信息技术与安全科学引用本文复制引用
徐传忠,杨冠鲁,王永初..基于动态模糊神经网络的电力谐波精确测量[J].太原理工大学学报,2011,42(4):357-359,364,4.基金项目
福建省自然科学基金项目(2009J01257) （2009J01257）
厦门市科技计划项目(3502Z2009302T) （3502Z2009302T）
