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
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;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2004. IEEE
Print_ISBN :
0-7803-8302-8
DOI :
10.1109/APS.2004.1329598
