Neural networks-method of moments (NN-MoM) for the efficient filling of the coupling matrix

Author

Soliman, Ezzeldin A. ; Bakr, Mohamed H. ; Nikolova, Natalia K.

Author_Institution

Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada

Volume

52

Issue

6

fYear

2004

fDate

6/1/2004 12:00:00 AM

Firstpage

1521

Lastpage

1529

Abstract

In this paper, novel radial basis function-neural network (RBF-NN) models are presented for the efficient filling of the coupling matrix of the method of moments (MoM). Two RBF-NNs are trained to calculate the majority of elements in the coupling matrix. The rest of elements are calculated using the conventional MoM, hence the technique is referred to as neural network-method of moments (NN-MoM). The proposed NN-MoM is applied to the analysis of a number of microstrip patch antenna arrays. The results show that NN-MoM is both accurate and fast. The proposed technique is general and it is convenient to integrate with MoM planar solvers.

Keywords

impedance matrix; method of moments; microstrip antenna arrays; radial basis function networks; MoM; RBF models; RBF-NN; coupling matrix; method of moments; microstrip patch antenna array; planar solver; radial basis function-neural network; Couplings; Filling; Integrated circuit technology; Microstrip antenna arrays; Microwave devices; Moment methods; Neural networks; Patch antennas; Radar antennas; Transmission line matrix methods; Method of moments; MoM; NNs; RBFs; neural networks; patch antenna arrays; radial basis functions;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/TAP.2004.829846

Filename

1303869