摘要
本文利用Hopfield神经网络完成了微波网络S参数测量中数据的实时处理,由于采用了多次测量值,从而也大大提高了传统测量线三点法的精度,为微波测量的数据处理提供了一种新方法。
In this paper,a real-time data processing method for microwave network S parameters measurement is performed by using Hopfield neural network. Because of multiple-times measurement,the measurement accuracy has been greatly increased compared with traditional threepoint method adopting measurement line. As a reult,a new kind of method for processing the data from microwave measurement experiments has been proposed.
出处
《微波学报》
CSCD
北大核心
1993年第1期17-21,共5页
Journal of Microwaves
关键词
微波网络
微波测量
神经网络
S参数
Neural Network
Least Square Method
Miceowave measurement