Trabalho apresentado em evento
New contributions to the determination of resonance frequencies of rectangular microstrip antennas by neural networks
Fecha
2008-12-01Registro en:
Proceedings of the IASTED International Conference on Intelligent Systems and Control, p. 99-104.
1025-8973
2-s2.0-74549155770
Autor
Universidade Estadual Paulista (Unesp)
Resumen
This paper uses artificial neural networks (ANN) to compute the resonance frequencies of rectangular microstrip antennas (MSA), used in mobile communications. Perceptron Multi-layers (PML) networks were used, with the Quasi-Newton method proposed by Broyden, Fletcher, Goldfarb and Shanno (BFGS). Due to the nature of the problem, two hundred and fifty networks were trained, and the resonance frequency for each test antenna was calculated by statistical methods. The estimate resonance frequencies for six test antennas were compared with others results obtained by deterministic and ANN based empirical models from the literature, and presented a better agreement with the experimental values.
Materias
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