Design of waveguide microwave filters by means of artificial neural networks | Zendy

Luchetta Antonio | Zendy; Manetti Stefano | Zendy; Pellegrini Luca | Zendy; Pelosi Giuseppe | Zendy; Selleri Stefano | Zendy

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Design of waveguide microwave filters by means of artificial neural networks

Author(s) -

Luchetta Antonio,

Manetti Stefano,

Pellegrini Luca,

Pelosi Giuseppe,

Selleri Stefano

Publication year - 2006

Publication title -

international journal of rf and microwave computer‐aided engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.335

H-Index - 39

eISSN - 1099-047X

pISSN - 1096-4290

DOI - 10.1002/mmce.20175

Subject(s) - artificial neural network , microwave , waveguide , antenna (radio) , component (thermodynamics) , computer science , waveguide filter , electronic engineering , engineering , filter (signal processing) , artificial intelligence , telecommunications , electrical engineering , prototype filter , optics , physics , filter design , thermodynamics

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.

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