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Determination of resonant frequencies of triangular and rectangular microstrip antennas, using artificial neural networks
Abstract
This paper presents models that can be used in the design of microstrip antennas for mobile communications. The antennas can be triangular or rectangular. The presented models are compared with deterministic and empirical models based on artificial neural networks (ANN) presented in the literature. The models are based on Perceptron Multilayer (PML) and Radial Basis Function (RBF) ANN. RBF based models presented the best results. Also, the models can be embedded in CAD systems, in order to design microstrip antennas for mobile communications.
How to cite this document
Brinhole, E. R. et al. Determination of resonant frequencies of triangular and rectangular microstrip antennas, using artificial neural networks. PIERS 2005 - Progress in Electromagnetics Research Symposium, Proceedings, p. 579-582. Available at: <http://hdl.handle.net/11449/68592>.
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English
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