Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/5440
Title: Design of a Circularly Polarized Elliptical Patch Antenna using Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference System
Authors: Gehani, Aarti
Ghadiya, Jignesh
Pujara, D. A.
Keywords: EC Faculty Paper
Faculty Paper
ITFEC040
ITFEC005
Issue Date: 23-Oct-2013
Publisher: IEEE
Citation: IEEE International Symposium on Antennas and Propagation (ISAP), Volume : 1, Nanjing , October 23 - 25, 2013, Page No. 388 - 390
Series/Report no.: ITFEC040-5;
Abstract: In the present paper, a circularly polarized elliptical patch antenna is designed using artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS). The resonant frequency and gain are taken as the input while the radius of semi-major axis and heights of the substrate are taken as the outputs. From the numerical results, it is observed that the errors in the output parameters are less in case of an ANFIS model as compared to that of an ANN model. With ANFIS model, a parametric study with different types and numbers of membership functions is also presented.
URI: http://hdl.handle.net/123456789/5440
ISBN: 978-7-5641-4279-7
Appears in Collections:Faculty Papers, EC

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