Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/5439
Title: Optimization of Hexa-band PIFA using Artificial Neuro-Fuzzy Inference System based CAD Model
Authors: Gehani, Aarti
Pujara, D. A.
Keywords: Antenna Return-loss
Optimization
Artificial Neuro-fuzzy Inference System
hexa-band Planar Inverted-F Antenna
Membership Function
EC Faculty Paper
Faculty Paper
ITFEC005
ITFEC040
Issue Date: 14-Mar-2014
Citation: Recent Advances in Wireless Communication and Artificial Intelligence, Dept. of EC Engi., College of Technology & Engineering, Maharana Pratap Uni. Of Agriculture and Technology, Udaipur, March 14 - 15, 2015
Series/Report no.: ITFEC040-4;
Abstract: In this paper, optimization of hexa-band planar inverted f-antenna is carried out using artificial neuro-fuzzy inference system. The geometrical parameters of the antenna under consideration were given as input to the proposed CAD model while the return loss characteristics were obtained as output. A comparison of the output of the proposed CAD model and that of commercially available full wave solver was carried out. Based on the comparison, it was found that the results resembles closely. Results provided by the proposed CAD model were accurate and required less computation time and computational resources once trained properly.
URI: http://hdl.handle.net/123456789/5439
Appears in Collections:Faculty Papers, EC

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