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

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

4 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar1022-1026
Sayfa sayısı5
ISBN (Elektronik)9786050107371
Yayın durumuYayınlandı - 2 Tem 2017
Etkinlik10th International Conference on Electrical and Electronics Engineering, ELECO 2017 - Bursa, Turkey
Süre: 29 Kas 20172 Ara 2017

Yayın serisi

Adı2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Hacim2018-January

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???event.eventtypes.event.conference???10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Ülke/BölgeTurkey
ŞehirBursa
Periyot29/11/172/12/17

Bibliyografik not

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

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