ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR THE INPUT RESISTANCE COMPUTATION OF RECTANGULAR MICROSTRIP ANTENNAS WITH THIN AND THICK SUBSTRATES-Reference-Cited by-同舟云学术

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ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR THE INPUT RESISTANCE COMPUTATION OF RECTANGULAR MICROSTRIP ANTENNAS WITH THIN AND THICK SUBSTRATES

Published:2004-01 Issue:1 Volume:18 Page:23-39
ISSN:0920-5071
Container-title:Journal of Electromagnetic Waves and Applications
language:en
Short-container-title:Journal of Electromagnetic Waves and Applications

Author:

Guney K.,Sarikaya N.

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,General Physics and Astronomy,Electronic, Optical and Magnetic Materials

Link

https://www.tandfonline.com/doi/pdf/10.1163/156939304322749599

Reference66 articles.

1. Microstrip Antenna Theory and Design

2. IEE Electromagnetic Wave Series;James J. R.,1989

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2. Application of Adaptive Neuro Fuzzy Inference System for Designing Square Monopole Antenna;2016 Second International Conference on Computational Intelligence & Communication Technology (CICT);2016-02

3. Design and Analysis of Microstrip Line Feed Toppled T Shaped Microstrip Patch Antenna using Radial Basis Function Neural Network;Journal of Electrical Engineering and Technology;2015-03-01

4. ANFIS MODELS FOR SYNTHESIS OF OPEN SUPPORTED COPLANAR WAVEGUIDES;Neural Network World;2013

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