Title :
An artificial neural network model for S-parameter of microstrip line
Author :
Gao Xue-lian; Cui Zhen-nan; Feng Nan; Zhang Xiao-yu; Hao Jian-hong
Author_Institution :
School of Electrical and Electronic Engineering, North China Electric Power University, No. 2, Beinong Road, Changping District, Beijing, China
fDate :
5/1/2013 12:00:00 AM
Abstract :
In order to solve the real-time calculation and analysis of S-parameter under different structures of microstrip line, the paper gives a method to establish a generic artificial neural network (ANN) model for S-parameter of microstrip line, which combines electromagnetic field numerical analysis with artificial neural network. By avoiding a large number of repetitive computing tasks, the model which is produced by this method can give S-parameter under different structures of microstrip line precisely and efficiently.
Keywords :
"Computational modeling","Numerical models","Artificial neural networks","Chlorine","Electromagnetics","Three-dimensional displays","Software"
Conference_Titel :
Electromagnetic Compatibility (APEMC), 2013 Asia-Pacific Symposium on
DOI :
10.1109/APEMC.2013.7360643