DocumentCode
418596
Title
A generalized regression neural network to inverse scattering from cylindrical conducting targets
Author
Atabaki, Amir H. ; Barkeshli, K.
Author_Institution
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Volume
1
fYear
2004
fDate
20-25 June 2004
Firstpage
213
Abstract
In this paper, we use the generalized regression neural network (GRNN) for the inverse scattering from perfectly conducting cylindrical targets illuminated by the transverse magnetic to z polarization.
Keywords
electromagnetic wave polarisation; electromagnetic wave scattering; inverse problems; neural nets; radial basis function networks; splines (mathematics); B-splines; GRNN; generalized regression neural network; inverse scattering; numerical inversion; perfectly cylindrical conducting targets; radial basis networks; scattering integral equations; transverse magnetic to z polarization illumination; Engine cylinders; Integral equations; Inverse problems; Moment methods; Neural networks; Polarization; Scattering; Spline; Testing; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2004. IEEE
Print_ISBN
0-7803-8302-8
Type
conf
DOI
10.1109/APS.2004.1329598
Filename
1329598
Link To Document