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;
2007
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.File in questo prodotto:
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