Title :
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
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;
Conference_Titel :
Telecommunications Symposium, 2006 International
Conference_Location :
Fortaleza, Ceara
Print_ISBN :
978-85-89748-04-9
Electronic_ISBN :
978-85-89748-04-9
DOI :
10.1109/ITS.2006.4433319
