摘要
详细介绍基于神经网络的电功率自适应测量方法 ,给出系统原理图及电功率测量误差自动校正方法 ;介绍一种LEA判别法的梯度牛顿有效结合神经网络学习方法 ;采用DSP技术实现电功率实时快速测量 ,给出实验结果。
This paper presents the self-adaptive measuring method of electric power based on a neural network along with a system-schematic diagram and an automatic correction method for the electric power measurement error.A brief introduction about the LEA decision method is also given,which shows that both graded methods and Newton methods can be effectively combined in the neural network learning.The DSP technology is used to realize real-time and fast measurements.The experimental result is also given out.
出处
《工业仪表与自动化装置》
2004年第2期47-49,29,共4页
Industrial Instrumentation & Automation
基金
五邑大学科学研究基金资助(编号20030101)
江门市科学研究基金资助(编号20030061)。
关键词
电功率测量
LEA判别法
自适应
DSP
神经网络
Neural network
Electric power measurement
LEA decision method
Self-adaptive
DSP