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Input Resistance Calculation for Circular Microstrip Antennas Using Adaptive Neuro-Fuzzy Inference System

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Abstract

This paper presents a new method based on adaptive neuro-fuzzy inference system (ANFIS) to calculate the input resistance of circular microstrip patch antennas. The ANFIS is a fuzzy inference system (FIS) implemented in the framework of an adaptive fuzzy neural network. It combines the explicit knowledge representation of FIS with learning power of neural networks. A hybrid learning algorithm based on the least square approach and the backpropagation algorithm is used to optimize the parameters of ANFIS. The input resistance results predicted by ANFIS are in excellent agreement with the experimental results reported elsewhere.

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References

  1. N. Beletskii, S. Borysenko, I. Ivanchenko, and N. Popenko, Nonlinear surface polaritons in semimagnetic semiconductors, Surface Science, 2002, vol. 507-510, pp. 512-516.

    Google Scholar 

  2. N. Beletskii, and S. Borysenko, Nonlinear surface polaritons in semimagnetic semiconductors being in a phase of antiferromagnetic ordering, Radiophysics and electronics, 2001, Vol.6, No 3, pp. 289-293.

    Google Scholar 

  3. A. Zhigalov, and S. Karelin, Unique set-up for measurements of semimagnetic semiconductor parameters in the wide temperature range, 2003, Visnik of L-viv University (Ukraine), Issue 36, pp. 199-205.

    Google Scholar 

  4. J.K. Furdyna, Diluted magnetic semiconductors, J. Appl. Phys. 64(4), 15 August 1988.

    Google Scholar 

  5. S. Karelin, Set-up for measurements of semimagnetic semiconductor parameters by the electron paramagnetic resonance method, Radiophysics and Electronics, 2003, vol. 8, No 1, pp. 78-85.

    Google Scholar 

  6. Y. Matsuda, T. Ikaida, N. Miura, S. Kuroda, F. Takano, and K. Takita, Effective mass of conduction electrons in Cd1-xMnxTe, Physical Review B, 2002, vol. 65, 115202-1-115202-9.

    Google Scholar 

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Authors and Affiliations

  1. Electronic Engineering Department, Faculty of Engineering, Erciyes University, Kayseri, 38039, Turkey

    K. Guney

  2. Department of Aircraft Electrical and Electronics, Civil Aviation School, Erciyes University, Kayseri, 38039, Turkey

    N. Sarikaya

Authors
  1. K. Guney
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  2. N. Sarikaya
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Guney, K., Sarikaya, N. Input Resistance Calculation for Circular Microstrip Antennas Using Adaptive Neuro-Fuzzy Inference System. International Journal of Infrared and Millimeter Waves 25, 703–716 (2004). https://doi.org/10.1023/B:IJIM.0000020756.48454.31

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  • DOI: https://doi.org/10.1023/B:IJIM.0000020756.48454.31

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