Scientific Journal of Informatics
Vol 5, No 2 (2018): November 2018

GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion

Adhi, Mochamad Aryono (Unknown)
Wahyudi, Wahyudi (Unknown)
Suryanto, Wiwit (Unknown)
Sarkowi, Muh (Unknown)

Article Info

Publish Date
29 Nov 2018

Abstract

The completion of gravitational data inversion results in a smooth recovered model. GRAV3D is one software that can be used to solve 3D inversion problems of gravity data. Nevertheless there are still fundamental problems related to how to ensure the validity of GRAV3D to be used in 3D inversion. One approach used is to use lower bounds as inversion parameters. In this study lower bounds are set from  to . The results obtained show that the use of lower bounds decreases resulting in a larger data misfit which means that the more data that meets the tolerance calculation, the better recovered model produced.

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Journal Info
Scientific Journal of Informatics
Website

Abbrev

SJI

Publisher

Universitas Negeri Semarang

Subject

Computer Science & IT

Description

Scientific Journal of Informatics published by the Department of Computer Science, Semarang State University, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the field of information systems and ...