Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response

Oleg Drobakhin*, Vasil Tabatadze, Vladyslav Chuchva, Artem Huz

*Bu çalışma için yazışmadan sorumlu yazar

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

Özet

The application of three-component stacked artificial neural networks (ANN) for discrimination of dielectric cylinders of different diameters by their radio images is considered. Neural networks include two sparse autoencoders and the softmax unit. Neural networks are not tied to the frequency range, unlike many well-known methods based on the resonant properties of objects, and they are a powerful tool for object recognition. Radio images were obtained using the method of auxiliary sources (MAS) for cylinders with the radius of 15 to 35 mm. The possibility of successful recognition was confirmed for the case of the diameter deviation of 1 mm and the presence of additive Gaussian noise with SNR of up to 5 dB.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2023 IEEE 28th International Seminar/Workshop - Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 - Proceedings
YayınlayanIEEE Computer Society
Sayfalar133-137
Sayfa sayısı5
ISBN (Elektronik)9798350315332
DOI'lar
Yayın durumuYayınlandı - 2023
Harici olarak yayınlandıEvet
Etkinlik28th IEEE International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023 - Tbilisi, Georgia
Süre: 11 Eyl 202313 Eyl 2023

Yayın serisi

AdıProceedings of International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED
Hacim2023-September
ISSN (Basılı)2165-3585
ISSN (Elektronik)2165-3593

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???28th IEEE International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, DIPED 2023
Ülke/BölgeGeorgia
ŞehirTbilisi
Periyot11/09/2313/09/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Parmak izi

Dielectric Cylinder Discrimination with ANN Using Wideband Electromagnetic Response' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap