RBF Neural Network Modeling of Rectangular Microstrip Patch Antenna

Author

Aneesh, Mohd ; Ansari, J.A. ; Singh, Ashutosh ; Kamakshi, K. ; Verma, Shalini

fYear

2012

fDate

23-25 Nov. 2012

Firstpage

241

Lastpage

244

Abstract

In this paper, a design procedure has been proposed for rectangular micro strip patch antenna using artificial neural network, which has been demonstrated using radial basis function neural network. The Neural model was analyzed for 20 sets of input output parameters. The radial basis function outputs are optimized by variation of spread constant and number of neurons. By applying this model we can reduce output error as well as time delay of system. The testing of output of neural model is found in good agreement with theoretical values.

Keywords

electrical engineering computing; microstrip antennas; optimisation; radial basis function networks; RBF neural network modeling; design procedure; neurons; output error reduction; radial basis function neural network; rectangular microstrip patch antenna; spread constant; time delay; Artificial neural networks; Microstrip; Microstrip antennas; Microwave antennas; Neurons; Resonant frequency; Vectors; Artificial Neural Network (ANN); Microstrip Patch Antenna (MPA); Radial Basis Function (RBF);

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Communication Technology (ICCCT), 2012 Third International Conference on

Conference_Location

Allahabad

Print_ISBN

978-1-4673-3149-4

Type

conf

DOI

10.1109/ICCCT.2012.56

Filename

6394705