An efficient neural network model for the input resonant resistance of coaxial fed rectangular microstrip antennas with thin and thick substrates

Simsek S.

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, vol.48, no.11, pp.2197-2199, 2006 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 48 Issue: 11
  • Publication Date: 2006
  • Doi Number: 10.1002/mop.21908
  • Journal Name: MICROWAVE AND OPTICAL TECHNOLOGY LETTERS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.2197-2199
  • Istanbul Technical University Affiliated: Yes

Abstract

In this paper, an efficient neural network model is suggested to determine the input resonant resistance of coaxial fed rectangular microstrip antennas (MSAs) with thin and thick substrates. The NN results are in good agreement with experimental results reported in literature. This method can easily be modified to address problems involving more general types of MSAs. (c) 2006 Wiley Periodicals, Inc.