DocumentCode :
125812
Title :
Multi-Net ANN approach for improving antenna optimization
Author :
Linh Ho Manh ; Grimaccia, F. ; Mussetta, M. ; Pirinoli, Paola ; Zich, Riccardo E.
Author_Institution :
Dipt. di Energia, Politec. di Milano, Milan, Italy
fYear :
2014
fDate :
16-23 Aug. 2014
Firstpage :
1
Lastpage :
4
Abstract :
In recent years, evolutionary algorithms have been successfully adopted for the optimization of various electromagnetic problems. One of the most common electromagnetic application is in the framework of microstrip antennas, thanks to the advantage of being low cost and low profile. In order to reduce the computational effort of the electromagnetic optimization, a suitable equivalent model by ANN has been created in order to substitute the commercially available full-wave analysis solvers. In this article, a new solution for multiple-output problem is presented. All the concepts will be integrated into the optimization of multi-layer proximity coupled feed microstrip antenna. Numerical results and efficiency have been reported in order to enlighten the effectiveness of the proposed approach.
Keywords :
microstrip antennas; neural nets; optimisation; telecommunication computing; electromagnetic optimization; equivalent model; full wave analysis; multilayer proximity coupled feed microstrip antenna; multinet ANN approach; Artificial neural networks; Biological neural networks; Microstrip antennas; Optimization; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/URSIGASS.2014.6929177
Filename :
6929177
Link To Document :
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