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PIER PIER B PIER C PIER M PIER Letters
2007-03-28
Resonant Frequency Calculation for Circular Microstrip Antennas with a Dielectric Cover Using Adaptive Network-Based Fuzzy Inference System Optimized by Various Algorithms
By
Kerim Guney,

    Professor Kerim Guney

    Faculty of Engineering

    Nuh Naci Yazgan University

    Turkey

    Homepage

Nurcan Sarikaya

    Dr. Nurcan Sarikaya

    Department of Electronic Engineering

    Erciyes University

    Turkey

    Homepage

Progress In Electromagnetics Research, Vol. 72, 279-306, 2007
doi:10.2528/PIER07031302
Abstract
This paper presents a method based on adaptive-networkbased fuzzy inference system (ANFIS) to calculate the resonant frequency of a circular microstrip antenna (MSA) with a dielectric cover. The ANFIS is a class of adaptive networks which are functionally equivalent to fuzzy inference systems (FISs). Six optimization algorithms, hybrid learning, least-squares, nelder-mead, genetic, differential evolution and particle swarm, are used to determine optimally the design parameters of the ANFIS. The resonant frequency results predicted by ANFIS are in very good agreement with the results reported elsewhere. When the performances of ANFIS models are compared with each other, the best result is obtained from the ANFIS model optimized by the LSQ algorithm.
Citation
Kerim Guney, and Nurcan Sarikaya, "Resonant Frequency Calculation for Circular Microstrip Antennas with a Dielectric Cover Using Adaptive Network-Based Fuzzy Inference System Optimized by Various Algorithms," Progress In Electromagnetics Research, Vol. 72, 279-306, 2007.
doi:10.2528/PIER07031302
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