A New Neural Network Model for Accurate Analysis of Microstrip Filters on PBG Structure

Author

Fernandes, E.N.R.Q. ; Silva, P.H.F. ; Melo, M.A.B. ; d´Assuncao, A.G.

Author_Institution

Federal University of ParaÃ\xadba, Department of Electrical Engineering, Caixa Postal 10053, Campina Grande, PB, Brazil, CEP: 58109-970; Federal University of Rio Grande do Norte, Department of Electrical Engineering, Caixa Postal 1655, Natal, RN, Brazil,

fYear

2002

fDate

23-26 Sept. 2002

Firstpage

1

Lastpage

4

Abstract

The performance of planar circuits, like microstrip filters, has been improved by the use of PBG structures. Usually, the development of fullwave analyses for calculating S parameters of microstrip circuits based on numerical methods (such as FDTD and MoM) is a hard task. In this work, an accurate and efficient neural model is proposed for the analysis of microstrip filters on PBG structures, at the microwave band. The simulation performed showed that the proposed ANN paradigm for microstrip filters provides numerical results that are in excellent agreement with measured results available in the literature. Furthermore, it has been observed that the neural model accomplishes a good generalization in interest regions out of training set, where there are no measured results available.

Keywords

Artificial neural networks; Circuit simulation; Finite difference methods; Microstrip filters; Microwave bands; Microwave filters; Neural networks; Performance evaluation; Scattering parameters; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Conference, 2002. 32nd European

Conference_Location

Milan, Italy

Type

conf

DOI

10.1109/EUMA.2002.339328

Filename

4140408