ANN solution of partial differential equation in the cylindrical coordinate system for circular patch antenna

Author

Pattanaik, Sridhar ; Mishra, R.K.

Author_Institution

Dept. of Electron. Sci., Berhampur Univ., Berhampur

fYear

2008

fDate

21-24 Nov. 2008

Firstpage

362

Lastpage

364

Abstract

The cavity model is suitable for analytical solution to Helmholtzpsilas equation of patch antennas. Neural network based solutions are suggested as alternatives to conventional cavity methods for the circular microstrip antenna. A trial solution of the differential equation is developed incorporating the boundary conditions. Then the network is trained to satisfy the differential equation.

Keywords

electrical engineering computing; learning (artificial intelligence); microstrip antennas; neural nets; partial differential equations; ANN solution; Helmholtz equation; cavity model; circular microstrip antenna; circular patch antenna; cylindrical coordinate system; neural network training; partial differential equation; Artificial neural networks; Boundary conditions; Differential equations; Electronics packaging; Microstrip antennas; Mobile antennas; Mobile communication; Neural networks; Partial differential equations; Patch antennas; ANN; Cavity model; Helhmoltz equation; Neural networks; Wave equation;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Advances in Microwave Theory and Applications, 2008. MICROWAVE 2008. International Conference on

Conference_Location

Jaipur

Print_ISBN

978-1-4244-2690-4

Electronic_ISBN

978-1-4244-2691-1

Type

conf

DOI

10.1109/AMTA.2008.4763172

Filename

4763172