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Comparison study of pattern‐synthesis techniques using neural networks
Author(s) -
Shavit R.,
Taig I.
Publication year - 2004
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.20244
Subject(s) - artificial neural network , microwave , computer science , time delay neural network , radial basis function , wavelet , artificial intelligence , engineering , telecommunications
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