Genetic based approach to the synthesis of a cylindrical-rectangular microstrip conformal antenna using artificial neural network and Support Vector Regression models

Mahmud Esad Yiǧit; Gülay Öke Günel; Tayfun Günel

Genetic based approach to the synthesis of a cylindrical-rectangular microstrip conformal antenna using artificial neural network and Support Vector Regression models

Mahmud Esad Yiǧit, Gülay Öke Günel, Tayfun Günel

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

In this paper, a rectangular microstrip antenna which is conformed to a cylindrical surface is synthesized by using Genetic Algorithm (GA), Support Vector Regression (SVR) and Artificial Neural Networks (ANN). GA is used to obtain the desired resonant frequency via trained SVR and ANN models. The results obtained by SVR and ANN models are compared.

Original language	English
Title of host publication	2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1022-1026
Number of pages	5
ISBN (Electronic)	9786050107371
Publication status	Published - 2 Jul 2017
Event	10th International Conference on Electrical and Electronics Engineering, ELECO 2017 - Bursa, Turkey Duration: 29 Nov 2017 → 2 Dec 2017

Publication series

Name	2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Volume	2018-January

Conference

Conference	10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Country/Territory	Turkey
City	Bursa
Period	29/11/17 → 2/12/17

Bibliographical note

Publisher Copyright:
© 2017 EMO (Turkish Chamber of Electrical Enginners).

Cite this

Yiǧit, M. E., Günel, G. Ö., & Günel, T. (2017). Genetic based approach to the synthesis of a cylindrical-rectangular microstrip conformal antenna using artificial neural network and Support Vector Regression models. In 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017 (pp. 1022-1026). (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc..

Yiǧit, Mahmud Esad ; Günel, Gülay Öke ; Günel, Tayfun. / Genetic based approach to the synthesis of a cylindrical-rectangular microstrip conformal antenna using artificial neural network and Support Vector Regression models. 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1022-1026 (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017).

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abstract = "In this paper, a rectangular microstrip antenna which is conformed to a cylindrical surface is synthesized by using Genetic Algorithm (GA), Support Vector Regression (SVR) and Artificial Neural Networks (ANN). GA is used to obtain the desired resonant frequency via trained SVR and ANN models. The results obtained by SVR and ANN models are compared.",

author = "Yiǧit, {Mahmud Esad} and G{\"u}nel, {G{\"u}lay {\"O}ke} and Tayfun G{\"u}nel",

note = "Publisher Copyright: {\textcopyright} 2017 EMO (Turkish Chamber of Electrical Enginners).; 10th International Conference on Electrical and Electronics Engineering, ELECO 2017 ; Conference date: 29-11-2017 Through 02-12-2017",

year = "2017",

month = jul,

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language = "English",

series = "2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017",

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Yiǧit, ME, Günel, GÖ & Günel, T 2017, Genetic based approach to the synthesis of a cylindrical-rectangular microstrip conformal antenna using artificial neural network and Support Vector Regression models. in 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017. 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1022-1026, 10th International Conference on Electrical and Electronics Engineering, ELECO 2017, Bursa, Turkey, 29/11/17.

Genetic based approach to the synthesis of a cylindrical-rectangular microstrip conformal antenna using artificial neural network and Support Vector Regression models. / Yiǧit, Mahmud Esad; Günel, Gülay Öke ; Günel, Tayfun.
2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1022-1026 (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yiǧit, Mahmud Esad

AU - Günel, Gülay Öke

AU - Günel, Tayfun

PY - 2017/7/2

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N2 - In this paper, a rectangular microstrip antenna which is conformed to a cylindrical surface is synthesized by using Genetic Algorithm (GA), Support Vector Regression (SVR) and Artificial Neural Networks (ANN). GA is used to obtain the desired resonant frequency via trained SVR and ANN models. The results obtained by SVR and ANN models are compared.

AB - In this paper, a rectangular microstrip antenna which is conformed to a cylindrical surface is synthesized by using Genetic Algorithm (GA), Support Vector Regression (SVR) and Artificial Neural Networks (ANN). GA is used to obtain the desired resonant frequency via trained SVR and ANN models. The results obtained by SVR and ANN models are compared.

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M3 - Conference contribution

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BT - 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th International Conference on Electrical and Electronics Engineering, ELECO 2017

Y2 - 29 November 2017 through 2 December 2017

ER -

Yiǧit ME, Günel GÖ , Günel T. Genetic based approach to the synthesis of a cylindrical-rectangular microstrip conformal antenna using artificial neural network and Support Vector Regression models. In 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1022-1026. (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017).

Genetic based approach to the synthesis of a cylindrical-rectangular microstrip conformal antenna using artificial neural network and Support Vector Regression models

Abstract

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Bibliographical note

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