ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR COMPUTING THE RESONANT FREQUENCY OF CIRCULAR MICROSTRIP ANTENNAS

Authors

  • Kerim Guney Department of Electronics Engineering, Faculty of Engineering, Erciyes University, 38039, Kayseri, Turkey
  • Nurcan Sarikaya Department of Aircraft Electrical and Electronics, Civil Aviation School, Erciyes University, 38039, Kayseri, Turkey

Keywords:

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR COMPUTING THE RESONANT FREQUENCY OF CIRCULAR MICROSTRIP ANTENNAS

Abstract

A new method for computing the resonant frequency of the circular microstrip antenna, based on the adaptive neuro-fuzzy inference system (ANFIS), is presented. A hybrid learning algorithm is used to identify the parameters of ANFIS. The results of the new method are in excellent agreement with the experimental results reported elsewhere.

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Published

2022-06-18

How to Cite

[1]
K. . Guney and N. . Sarikaya, “ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR COMPUTING THE RESONANT FREQUENCY OF CIRCULAR MICROSTRIP ANTENNAS”, ACES Journal, vol. 19, no. 3, pp. 188–197, Jun. 2022.

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