Application of neural networks to detect metal bodies

Author

Lyasota, D. ; Morozov, V. ; Magro, V.

Author_Institution

Oles Honchar Dnipropetrovsk, Nat. Univ., Dnipropetrovsk, Ukraine

fYear

2015

fDate

21-24 April 2015

Firstpage

38

Lastpage

41

Abstract

Work is devoted to the recognition algorithm body, on the basis of the spatial distribution of normalized power and the parameters of the polarization ellipse of the scattered electromagnetic wave. Diffraction problem is solved by the method of integral equation. Fredholm equation of the first kind for the electric field vector with the boundary conditions of Dirichlet is solved. Shows the spatial distribution of the normalized reflected power, the angle of the main axis of the ellipse and the ratio of its axes for each of the bodies for certain.

Keywords

Fredholm integral equations; electromagnetic wave diffraction; electromagnetic wave scattering; metal detectors; neural nets; Dirichlet boundary conditions; Fredholm equation; diffraction problem; electric field vector; integral equation; metal bodies detection; neural networks; normalized power; recognition algorithm body; scattered electromagnetic wave; spatial distribution; Biological neural networks; Character recognition; Electric fields; Noise; Object recognition; Surface impedance; diffraction; equation; neural network; scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Nanotechnology (ELNANO), 2015 IEEE 35th International Conference on

Conference_Location

Kiev

Type

conf

DOI

10.1109/ELNANO.2015.7146830

Filename

7146830