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Design of waveguide microwave filters by means of artificial neural networks.

Authors :
Luchetta, Antonio
Manetti, Stefano
Pellegrini, Luca
Pelosi, Giuseppe
Selleri, Stefano
Source :
International Journal of RF & Microwave Computer-Aided Engineering; Nov2006, Vol. 16 Issue 6, p554-560, 7p, 5 Black and White Photographs, 2 Diagrams, 1 Chart, 1 Graph
Publication Year :
2006

Abstract

Cylindrical post-based waveguide filters are a relevant component of antenna feeding networks. Their synthesis performed via automatic optimization based on full-wave analyses can be very time consuming. In this article a novel fast-design approach based on Levy's and Moore's algorithms and an artificial neural network (ANN) architecture is presented. © 2006 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2006. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10964290
Volume :
16
Issue :
6
Database :
Complementary Index
Journal :
International Journal of RF & Microwave Computer-Aided Engineering
Publication Type :
Academic Journal
Accession number :
22671836
Full Text :
https://doi.org/10.1002/mmce.20175