Adaptive neuro-fuzzy inference system for computing the resonant frequency of electrically thin and thick rectangular microstrip antennas

A new method based on adaptive neuro-fuzzy inference system (ANFIS) for calculating the resonant frequency of rectangular microstrip antennas (MSAs) with thin and thick substrates is presented. The ANFIS has the advantages of expert knowledge of fuzzy inference systems (FISs) and learning capability of artificial neural networks (ANNs). A hybrid learning algorithm, which combines the least square method and the backpropagation algorithm, is used to identify the parameters of ANFIS. The resonant frequency results obtained by using ANFIS are in excellent agreement with the experimental results reported elsewhere.

[1]  E. Mizutani,et al.  Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.

[2]  Kerim Guney,et al.  ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR THE INPUT RESISTANCE COMPUTATION OF RECTANGULAR MICROSTRIP ANTENNAS WITH THIN AND THICK SUBSTRATES , 2004 .

[3]  David M. Pozar,et al.  Antenna design using personal computers , 1986, 1986 Antennas and Propagation Society International Symposium.

[4]  P. Hall,et al.  Handbook of microstrip antennas , 1989 .

[5]  Dipak L. Sengupta.  Approximate expression for the resonant frequency of a rectangular patch antenna , 1983 .

[6]  I. J. Bahl,et al.  Microstrip Antennas , 1980 .

[7]  R. Garg,et al.  Microstrip Antenna Design Handbook , 2000 .

[8]  Kerim Guney.  A new edge extension expression for the resonant frequency of electrically thick rectangular microstrip antennas , 1993 .

[9]  Kerim Guney,et al.  Input Resistance Calculation for Circular Microstrip Antennas Using Adaptive Neuro-Fuzzy Inference System , 2004 .

[10]  Kerim Guney,et al.  "Adaptive Neuro-Fuzzy Inference System for Computing the Resonant Frequency of Circular Microstrip Antennas" , 2004 .

[11]  M. Kara.  The resonant frequency of rectangular microstrip antenna elements with various substrate thicknesses , 1996 .

[12]  Mehmet Kara.  CLOSED-FORM EXPRESSIONS FOR THE RESONANT FREQUENCY OF RECTANGULAR MICROSTRIP ANTENNA ELEMENTS WITH THICK SUBSTRATES , 1996 .

[13]  Abraham Kandel,et al.  Monopulse amplitude direction-finding using neuro-fuzzy approach , 2000, Robotics Auton. Syst..

[14]  Stuart A. Long,et al.  The resonant frequency of electrically thick rectangular microstrip antennas , 1986, 1986 Antennas and Propagation Society International Symposium.

[15]  M. V. Schneider,et al.  Microstrip lines for microwave integrated circuits , 1969 .

[16]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[17]  C. S. George Lee,et al.  Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems , 1996 .

[18]  Erik O. Hammerstad,et al.  Equations for Microstrip Circuit Design , 1975, 1975 5th European Microwave Conference.

[19]  D. M. Pozar,et al.  Microstrip antennas , 1995, Proc. IEEE.

[20]  Qing Huo Liu,et al.  Resonance frequency of a rectangular microstrip patch , 1988 .

[21]  Kerim Guney,et al.  Computation of resonant frequency for equilateral triangular microstrip antennas using the adaptive neuro-fuzzy inference system , 2004 .