Neuromodelling of tapered microstrip antennas and frequency selective surfaces

Author

da Silva, Patric Lacouth ; D´Assunção, Adaildo Gomes

Author_Institution

Fed. Univ. of Rio Grande do, Natal

fYear

2006

fDate

3-6 Sept. 2006

Firstpage

464

Lastpage

467

Abstract

The main objective of this work is the application of Artificial Neural Networks (ANN) in the analysis of microwave integrated circuits, such as tapered microstrip antennas and frequency selective surfaces (FSS). The advantages of modeling these devices through neural networks are discussed. The ANN results are presented and validated with those from the method of moments (MoM). The antenna ANN results are presented and validated with measured ones. Furthermore, a good generalization capacity of the ANN analysis was observed.

Keywords

frequency selective surfaces; microstrip antennas; microwave integrated circuits; neural nets; telecommunication computing; ANN modeling; artificial neural networks; frequency selective surfaces; microwave integrated circuit analysis; tapered microstrip antennas; Antenna measurements; Application specific integrated circuits; Artificial neural networks; Frequency selective surfaces; Integrated circuit measurements; Microstrip antennas; Microwave antennas; Microwave devices; Microwave integrated circuits; Moment methods; Artificial Neural Networks; Frequency Selective Surfaces; Tapered Microstrip Antenna;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications Symposium, 2006 International

Conference_Location

Fortaleza, Ceara

Print_ISBN

978-85-89748-04-9

Electronic_ISBN

978-85-89748-04-9

Type

conf

DOI

10.1109/ITS.2006.4433319

Filename

4433319