RESONANT FREQUENCY CALCULATION FOR CIRCULAR MICROSTRIP ANTENNAS WITH A DIELECTRIC COVER USING ADAPTIVE NETWORK-BASED FUZZY INFERENCE SYSTEM OPTIMIZED BY VARIOUS ALGORITHMS | Zendy

Kerim Güney | Zendy; N. Sarıkaya | Zendy

Open Access

RESONANT FREQUENCY CALCULATION FOR CIRCULAR MICROSTRIP ANTENNAS WITH A DIELECTRIC COVER USING ADAPTIVE NETWORK-BASED FUZZY INFERENCE SYSTEM OPTIMIZED BY VARIOUS ALGORITHMS

Author(s) -

Kerim Güney,

N. Sarıkaya

Publication year - 2007

Publication title -

electromagnetic waves

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.437

H-Index - 89

eISSN - 1559-8985

pISSN - 1070-4698

DOI - 10.2528/pier07031302

Subject(s) - cover (algebra) , fuzzy inference system , microstrip , microstrip antenna , dielectric , adaptive neuro fuzzy inference system , computer science , algorithm , fuzzy inference , electronic engineering , fuzzy logic , topology (electrical circuits) , fuzzy control system , engineering , telecommunications , antenna (radio) , artificial intelligence , electrical engineering , mechanical engineering

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. 280 Guney and Sarikaya

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