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.
Design of waveguide microwave filters by means of artificial neural networks / A. Luchetta; S. Manetti; L. Pellegrini; G. Pelosi; S. Selleri. - In: INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING. - ISSN 1096-4290. - STAMPA. - 16:(2006), pp. 554-560. [10.1002/mmce.20175]
Design of waveguide microwave filters by means of artificial neural networks
LUCHETTA, ANTONIO;MANETTI, STEFANO;PELOSI, GIUSEPPE;SELLERI, STEFANO
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.
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