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

被引：32

作者：

Soliman, EA ^{[1
]}

Bakr, MH

Nikolova, NK

机构：

[1] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4K1, Canada

[2] Cairo Univ, Fac Engn, Dept Engn Phys, Giza 12211, Egypt

来源：

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 2004年 / 52卷 / 06期

关键词：

method of moments (MoM); neural networks (NNs); patch antenna arrays; radial basis functions (RBFs);

D O I：

10.1109/TAP.2004.829846

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1521 / 1529

页数：9

共 22 条

[1]

*AG TECHN, 2002, MOM VERS 4 7

[2] A robust approach for the derivation of closed-form Green's functions [J].

Aksun, MI .

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 1996, 44 (05) :651-658

[3] Performance of radial-basis function networks for direction of arrival estimation with antenna arrays [J].

ElZooghby, AH ;

Christodoulou, CG ;

Georgiopoulos, M .

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1997, 45 (11) :1611-1617

[4] Feasible adjoint sensitivity technique for EM design optimization [J].

Georgieva, NK ;

Glavic, S ;

Bakr, MH ;

Bandler, JW .

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2002, 50 (12) :2751-2758

[5]

HALL PS, 1994, P I ELECTR ENG, V141, P321

[6]

JOKINEN PA, 1990, P NEURO NIM 90 NIM F

[7] Neural computation of resonant frequency of electrically thin and thick rectangular microstrip antennas [J].

Karaboga, D ;

Güney, K ;

Sagiroglu, S ;

Erler, M .

IEE PROCEEDINGS-MICROWAVES ANTENNAS AND PROPAGATION, 1999, 146 (02) :155-159

[8] USING RADIAL BASIS FUNCTIONS TO APPROXIMATE A FUNCTION AND ITS ERROR-BOUNDS [J].

LEONARD, JA ;

KRAMER, MA ;

UNGAR, LH .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1992, 3 (04) :624-626

[9]

Maren A., 1990, HDB NEURAL COMPUTING

[10]

*MAT WORK INC, 2001, MATLAB VERS 6 1

← 1 2 3 →