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Comparison study of pattern-synthesis techniques using neural networks

✍ Scribed by R. Shavit; I. Taig

Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
242 KB
Volume
42
Category
Article
ISSN
0895-2477

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✦ Synopsis

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 (RBFs) and wavelet neural networks (WNNs), are introduced. The proposed networks offer a more efficient synthesis procedure, as compared to other available techniques. © 2004 Wiley Periodicals, Inc. Microwave Opt Technol Lett 42: 175–179, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20244

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