Study of pattern synthesis techniques using neural networks

R. Shavit; I. Taig

Study of pattern synthesis techniques using neural networks

Department of Electrical & Computer Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper a comparison study among three neural network algorithms for the synthesis of array patterns is presented. The neural networks are used to estimate the array elements excitations for an arbitrary pattern. The architecture of the neural networks is discussed and simulation results are presented. Two new neural networks, based on Radial Basis Functions (RBF) and Wavelets Neural Networks (WNN), are introduced. The proposed networks make the synthesis procedure more efficient compared to other available techniques.

Original language	English
Pages	266-268
Number of pages	3
State	Published - 1 Dec 2004
Event	2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings - Tel-Aviv, Israel Duration: 6 Sep 2004 → 7 Sep 2004

Conference

Conference	2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings
Country/Territory	Israel
City	Tel-Aviv
Period	6/09/04 → 7/09/04

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

Cite this

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title = "Study of pattern synthesis techniques using neural networks",

abstract = "In this paper a comparison study among three neural network algorithms for the synthesis of array patterns is presented. The neural networks are used to estimate the array elements excitations for an arbitrary pattern. The architecture of the neural networks is discussed and simulation results are presented. Two new neural networks, based on Radial Basis Functions (RBF) and Wavelets Neural Networks (WNN), are introduced. The proposed networks make the synthesis procedure more efficient compared to other available techniques.",

author = "R. Shavit and I. Taig",

year = "2004",

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day = "1",

language = "English",

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AU - Shavit, R.

AU - Taig, I.

PY - 2004/12/1

Y1 - 2004/12/1

N2 - In this paper a comparison study among three neural network algorithms for the synthesis of array patterns is presented. The neural networks are used to estimate the array elements excitations for an arbitrary pattern. The architecture of the neural networks is discussed and simulation results are presented. Two new neural networks, based on Radial Basis Functions (RBF) and Wavelets Neural Networks (WNN), are introduced. The proposed networks make the synthesis procedure more efficient compared to other available techniques.

AB - In this paper a comparison study among three neural network algorithms for the synthesis of array patterns is presented. The neural networks are used to estimate the array elements excitations for an arbitrary pattern. The architecture of the neural networks is discussed and simulation results are presented. Two new neural networks, based on Radial Basis Functions (RBF) and Wavelets Neural Networks (WNN), are introduced. The proposed networks make the synthesis procedure more efficient compared to other available techniques.

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M3 - Paper

AN - SCOPUS:17444376066

SP - 266

EP - 268

T2 - 2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings

Y2 - 6 September 2004 through 7 September 2004

ER -

Study of pattern synthesis techniques using neural networks

Abstract

Conference

ASJC Scopus subject areas

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Cite this