Title :
Application of neural networks to detect metal bodies
Author :
Lyasota, D. ; Morozov, V. ; Magro, V.
Author_Institution :
Oles Honchar Dnipropetrovsk, Nat. Univ., Dnipropetrovsk, Ukraine
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;
Conference_Titel :
Electronics and Nanotechnology (ELNANO), 2015 IEEE 35th International Conference on
Conference_Location :
Kiev
DOI :
10.1109/ELNANO.2015.7146830
