In this paper, an heuristic approach based on Support Vector Regression Machines (SVRMs) is presented in order to solve a simple inverse scattering problem. Interesting results have been obtained, with a remarkable reduction of computational time. Future development of this works will interest the evaluation of the performances of SVRMs for detection of buried objects in strati¯ed media. This is the starting point to develop models for typical Georadar applications.
Solving Electromagnetic Inverse Scattering Problems by SVRMs: a Case of Study Towards Georadar Applications / Angiulli, G., Barrile, V., Cacciola, M.. - In: PIERS ONLINE. - ISSN 1931-7360. - Vol.3 N. 5:5(2007), pp. 741-745. [10.2529/PIERS060907144915]
Solving Electromagnetic Inverse Scattering Problems by SVRMs: a Case of Study Towards Georadar Applications
ANGIULLI Giovanni
;BARRILE Vincenzo;
2007-01-01
Abstract
In this paper, an heuristic approach based on Support Vector Regression Machines (SVRMs) is presented in order to solve a simple inverse scattering problem. Interesting results have been obtained, with a remarkable reduction of computational time. Future development of this works will interest the evaluation of the performances of SVRMs for detection of buried objects in strati¯ed media. This is the starting point to develop models for typical Georadar applications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
