A Hybrid Method Based on Combining Artificial Neural Network and Fuzzy Inference System for Simultaneous Computation of Resonant Frequencies of Rectangular, Circular, and Triangular Microstrip Antennas

A hybrid method based on a combination of artificial neural network (ANN) and fuzzy inference system (FIS) is presented to calculate simultaneously the resonant frequencies of various microstrip antennas (MSAs) of regular geometries. The ANN is trained with the Bayesian regulation algorithm. An algo...

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Veröffentlicht in:IEEE transactions on antennas and propagation Jg. 55; H. 3; S. 659 - 668
Hauptverfasser: Guney, K., Sarikaya, N.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.03.2007
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0018-926X, 1558-2221
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Abstract A hybrid method based on a combination of artificial neural network (ANN) and fuzzy inference system (FIS) is presented to calculate simultaneously the resonant frequencies of various microstrip antennas (MSAs) of regular geometries. The ANN is trained with the Bayesian regulation algorithm. An algorithm that integrates least square method and backpropagation algorithm is used to identify the parameters of FIS. The resonant frequency results of the proposed hybrid method for the rectangular, circular, and triangular MSAs are in very good agreement with the experimental results available in the literature
AbstractList A hybrid method based on a combination of artificial neural network (ANN) and fuzzy inference system (FIS) is presented to calculate simultaneously the resonant frequencies of various microstrip antennas (MSAs) of regular geometries. The ANN is trained with the Bayesian regulation algorithm. An algorithm that integrates least square method and backpropagation algorithm is used to identify the parameters of FIS. The resonant frequency results of the proposed hybrid method for the rectangular, circular, and triangular MSAs are in very good agreement with the experimental results available in the literature
A hybrid method based on a combination of artificial neural network (ANN) and fuzzy inference system (FIS) is presented to calculate simultaneously the resonant frequencies of various microstrip antennas (MSAs) of regular geometries. The ANN is trained with the Bayesian regulation algorithm. An algorithm that integrates least square method and backpropagation algorithm is used to identify the parameters of FIS. The resonant frequency results of the proposed hybrid method for the rectangular, circular, and triangular MSAs are in very good agreement with the experimental results available in the literature.
Author Sarikaya, N.
Guney, K.
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  surname: Sarikaya
  fullname: Sarikaya, N.
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Issue 3
Keywords Fuzzy inference system
Backpropagation algorithm
Fuzzy system
Least squares method
Resonance frequency
Microstrip antennas
microstrip antenna (MSA)
resonant frequency
Neural network
Fuzzy neural nets
Language English
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Snippet A hybrid method based on a combination of artificial neural network (ANN) and fuzzy inference system (FIS) is presented to calculate simultaneously the...
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SubjectTerms Algorithms
Antennas
Applied sciences
Artificial neural networks
Backpropagation algorithms
Bayesian methods
Computer networks
Exact sciences and technology
Fuzzy
Fuzzy inference system
Fuzzy logic
Fuzzy neural networks
Fuzzy set theory
Fuzzy systems
Geometry
Inference
Inference algorithms
Learning theory
microstrip antenna (MSA)
Microstrip antennas
neural network
Neural networks
Radiocommunications
Resonant frequencies
Resonant frequency
Telecommunications
Telecommunications and information theory
Title A Hybrid Method Based on Combining Artificial Neural Network and Fuzzy Inference System for Simultaneous Computation of Resonant Frequencies of Rectangular, Circular, and Triangular Microstrip Antennas
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