Study of pattern synthesis techniques using neural networks

R. Shavit, I. Taig

Research output: Contribution to conferencePaperpeer-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 languageEnglish
Pages266-268
Number of pages3
StatePublished - 1 Dec 2004
Event2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings - Tel-Aviv, Israel
Duration: 6 Sep 20047 Sep 2004

Conference

Conference2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings
Country/TerritoryIsrael
CityTel-Aviv
Period6/09/047/09/04

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