DocumentCode :
2771873
Title :
Neuromodelling of Frequency Selective Surfaces and E-Shaped Microstrip Antennas
Author :
Silva, Patric Lacouth da ; Assunção, Adaildo Gomes D
Author_Institution :
Department of Electrical Engineering, Federal University of Rio Grande do Norte Caixa Postal 1655, Natal, RN, Brazil, CEP: 59072-970, Tel.: +55 84 3215 3700, e-mail: lacouth@gmail.com
fYear :
2006
fDate :
16-21 July 2006
Firstpage :
2374
Lastpage :
2377
Abstract :
The main objective of this work is the application of Artificial Neural Networks (ANN) in the analysis of microwave integrated circuits, such as frequency selective surfaces (FSS) and E-shaped microstrip antennas. The advantages of modeling these devices through neural networks are discussed. The FSS 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 :
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Print_ISBN :
0-7803-9490-9
Type :
conf
DOI :
10.1109/IJCNN.2006.247061
Filename :
1716411
Link To Document :
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