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, Giovanni; Barrile, Vincenzo; 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.
2007
Inverse Scattering; Support Vector Machines
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/1762
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