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Dergiler / Istanbul University Journal of Electrical and Electronics Engineering / 2007 / Cilt: 7 - Sayı: 1

Neural network approach to shape reconstruction of a conducting cylinder

Serkan ŞİMŞEK
Nemci Serkan TEZEL
Sayfa
299–304
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The effect ofthe noise on the scattering field is also investigated.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this study, the shape reconstruction of a conducting cylinder by making use of electromagneticscattered fields is presented.
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Temel Bulgular & Veri:The problem is treated with the Method of Moment (MoM) and FeedForward Neural Networks (FF-NN) is applied.
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Sonuç & Katkı:The effect ofthe noise on the scattering field is also investigated.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

In this study, the shape reconstruction of a conducting cylinder by making use of electromagneticscattered fields is presented. The problem is treated with the Method of Moment (MoM) and FeedForward Neural Networks (FF-NN) is applied. The shape of the cylinder is represented by a Fourierseries while applying MoM, a matrix equation is obtained whose elements are expressed numericallyby using discrete points. The scattered field data and Fourier coefficients of the cylinder are used fortraining the NN as inputs and outputs respectively. The NN results are compared with exact shapes ofsome conducting cylinders; and good agreements with the original shapes are observed. The effect ofthe noise on the scattering field is also investigated.

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Bu Makaleye Atıf Yap

ŞİMŞEK, S., TEZEL, N. S. (2022). Neural network approach to shape reconstruction of a conducting cylinder. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 7 - Sayı: 1, 299–304. https://ajindex.com/articles/543781

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Kaynakça (13)

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