Frequency selective surface design using neural networks inversion based on parametrized representations

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationAP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)
PublisherPubl by IEEE
Pages200-203
Volume1
ISBN (Print)780301447
Publication statusPublished - 1991
Externally publishedYes

Publication series

Name
Volume1
ISSN (Electronic)0272-4693

Conference

TitleAntennas and Propagation Society Symposium
CityLondon, Ont, Can
Period24 - 28 June 1991

Abstract

A parametric model of a frequency selective surface (FSS) is presented. By using a parametric representation of the FSS, one can simplify the process of designing an FSS for a given response by embedding constraints into the input data representation, thus avoiding the need for the constraint satisfaction mechanism. A parametric representation of an FSS made up of a dipole array is considered as an example.

Citation Format(s)

Frequency selective surface design using neural networks inversion based on parametrized representations. / Davis, D. T.; Chan, C. H.; Hwang, J. N.
AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society). Vol. 1 Publ by IEEE, 1991. p. 200-203.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review