Determination of resonant frequencies of triangular and rectangular microstrip antennas, using artificial neural networks

• Autor(a) principal: Brinhole, E. R.
• Data de Publicação: 2005
• Outros Autores: Destro, J. F. Z., Freitas, A. A. C. de, Alcantara, N. P. de [UNESP]
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.2529/PIERS041210091305; http://hdl.handle.net/11449/68592
• topic: Antennas; Backpropagation; Computer aided design; Embedded systems; Feedforward neural networks; Microstrip antennas; Microwave antennas; Mobile telecommunication systems; Natural frequencies; Neural networks; Piers; Radial basis function networks; Wireless networks; Artificial neural networks; Cad systems; Empirical models; Mobile communications; Perceptron; Radial basis functions; Resonant frequencies; Mobile antennas

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.