Estimating depths and dimensions of gravity sources through optimized support vector classifier (SVC)

Estimating depths and dimensions of gravity sources through optimized support vector classifier (SVC)

By researching and applying new methods we will be able to improve significantly estimation of shapes, dimensions and depths of gravity sources. After shapes estimation of gravity sources through support vector classifier (SVC) in our last research [Hekmatian et al. 2015], in this paper SVC is appli...

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Bibliographic Details
Main Authors: Mohammad Ehsan Hekmatian, Vahid Ebrahimzadeh Ardestani, Mohammad Ali Riahi, Ayyub Memar Koucheh Bagh
Format: Article
Language:English
Published: Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2016-07-01
Series:Annals of Geophysics
Subjects:
Gravity sources depths and dimensions
Gravity profile
SVC
Feature
FS
Online Access:http://www.annalsofgeophysics.eu/index.php/annals/article/view/7029

Internet

http://www.annalsofgeophysics.eu/index.php/annals/article/view/7029

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