Comparison of adaptive-network-based fuzzy inference systems for bandwidth calculation of rectangular microstrip antennas

被引:9
作者
Guney, K. [1 ]
Sarikaya, N. [2 ]
机构
[1] Erciyes Univ, Fac Engn, Dept Elect & Elect Engn, TR-38039 Kayseri, Turkey
[2] Erciyes Univ, Civil Aviat Sch, Dept Aircraft Elect & Elect, TR-38039 Kayseri, Turkey
关键词
Microstrip antenna; Bandwidth; ANFIS; Fuzzy inference system; RESONANT-FREQUENCY; ELECTRICALLY THIN; INPUT RESISTANCE; COMPUTATION; OPTIMIZATION; EFFICIENCY; SUBSTRATE; ELEMENTS;
D O I
10.1016/j.eswa.2008.02.008
中图分类号
TP18 [人工智能理论];
学科分类号
140502 [人工智能];
摘要
This paper presents a method based on adaptive-network-based fuzzy inference system (ANFIS) to compute the bandwidth of a rectangular microstrip antenna (MSA). Seven optimization algorithms, least-squares, Nelder-Mead, genetic, differential evolution, hybrid learning, particle swarm, and simulated annealing are used to determine optimally the design parameters of the ANFIS. The results of the ANFIS models show better agreement with the experimental results as compared to the results of previous methods available in the literature. When the performances of ANFIS models are compared with each other, the best result is obtained from the ANFIS model trained by the least-squares algorithm. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3522 / 3535
页数:14
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