Mutual coupling analyses of antenna arrays by neural network models with radial basis functions

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13 Citations (Scopus)

Abstract

In this paper, the neural network model with radial basis functions (RBF-NN) is applied to the mutual coupling analyses of antenna arrays. Initially, the RBF-NN is trained by data sets calculated from the moment methods. Numerical examples show that the results predicted by the trained RBF-NN are consistent with those calculated from the moment methods. The trained RBF-NN is useful in the application of antenna arrays.

Original languageEnglish
Pages (from-to)1217-1223
Number of pages7
JournalJournal of Electromagnetic Waves and Applications
Volume17
Issue number8
DOIs
Publication statusPublished - 2003 Aug 6

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Physics and Astronomy(all)
  • Electrical and Electronic Engineering

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