Field strength prediction based on wavelet neural network

Author

Cheng, Fang ; Shen, Huairong

Author_Institution

Co. of Postgrad. Manage., Acad. of Equip. Command & Technol., Beijing, China

Volume

2

fYear

2010

fDate

22-24 June 2010

Abstract

A new approach for electromagnetic field strength prediction based on wavelet neural networks is proposed. First of all, use a three dimensional parabolic equation technique to calculate the field strength as the measurements. And establish a 3-layer wavelet neural network model, then use the well trained network to predict the field strength for different frequency. The results show that it is an effective way to resolve the electromagnetic problem.

Keywords

computational electromagnetics; electric field measurement; magnetic field measurement; neural nets; parabolic equations; wavelet transforms; electromagnetic field strength; three dimensional parabolic equation; wavelet neural network; Artificial neural networks; Computer networks; Computer science education; Continuous wavelet transforms; Educational technology; Function approximation; Neural networks; Predictive models; Space technology; Wavelet analysis; field strength; three dimensional parabolic equation (3DPE); wavelet neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer (ICETC), 2010 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-6367-1

Type

conf

DOI

10.1109/ICETC.2010.5529392

Filename

5529392