Electromagnetic approaches based on learning‐rom‐samples(LFS) techniques [1] have been proposed for the on‐line [after the learning process (or training phase) performed once and off‐line] detection of subsurface objects.
Recent Advances on the Use of Kernel-Based Learning-By-Examples Techniques for Electromagnetic Subsurface Sensing / Benedetti, Manuel; Donelli, Massimo; Rosani, Andrea; Massa, Andrea; Franceschini, Davide; Boni, Andrea. - ELETTRONICO. - (2011).
Recent Advances on the Use of Kernel-Based Learning-By-Examples Techniques for Electromagnetic Subsurface Sensing
Benedetti, ManuelPrimo
;Donelli, MassimoSecondo
;Rosani, Andrea;Massa, Andrea
Ultimo
;Franceschini, Davide;Boni, AndreaPenultimo
2011-01-01
Abstract
Electromagnetic approaches based on learning‐rom‐samples(LFS) techniques [1] have been proposed for the on‐line [after the learning process (or training phase) performed once and off‐line] detection of subsurface objects.File in questo prodotto:
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