Please use this identifier to cite or link to this item:
Title: PSO driven RBFNN for design of equilateral triangular microstrip patch antenna
Authors: Chintakindi, Vidya Sagar
Pattnaik, Shyam Sundar
Bajpai, O P
Devi, S
Keywords: Particle swarm optimization (PSO);Radial basis neural network (RBFNN);Artificial neural network (ANN);PSO drven RBFNN;Equilateral triangular microstrip patch antenna (ETMPA)
Issue Date: Aug-2009
Publisher: CSIR
PACS No.: 84.40.Ba
Abstract: Recent advances in computer aided design packages for electromagnetic applications have helped antenna engineers to design, simulate and synthesize antennas efficiently. The PSO driven RBFNN has been developed to calculate the resonant frequency of equilateral triangular microstrip patch antenna (ETMPA). The present paper highlights the simplicity, computational efficiency and accuracy of the proposed method. The achieved results have been compared with published experimental and theoretical findings to validate the presented approach, which seems to be in very good agreements.
Page(s): 233-237
ISSN: 0975-105X (Online); 0367-8393 (Print)
Appears in Collections:IJRSP Vol.38(4) [August 2009]

Files in This Item:
File Description SizeFormat 
IJRSP 38(4) 233-237.pdf310.71 kBAdobe PDFView/Open

Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.