GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion
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. On...
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Jurusan Ilmu Komputer Universitas Negeri Semarang
2018-11-01
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doaj-6a42f2eaf14e457d9360b6a91649732d2020-11-25T03:52:31ZengJurusan Ilmu Komputer Universitas Negeri SemarangScientific Journal of Informatics2407-76582018-11-015227127710.15294/sji.v5i2.167368136GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data InversionMochamad Aryono Adhi0Wahyudi Wahyudi1Wiwit SuryantoMuh Sarkowi2Mathematics and Natural Science Semarang State UniversityPhysics Deparment FMIPA UGMUniversitas LampungThe 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.https://journal.unnes.ac.id/nju/index.php/sji/article/view/16736grav3d, 3d inversion, validation, lower bounds |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mochamad Aryono Adhi Wahyudi Wahyudi Wiwit Suryanto Muh Sarkowi |
spellingShingle |
Mochamad Aryono Adhi Wahyudi Wahyudi Wiwit Suryanto Muh Sarkowi GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion Scientific Journal of Informatics grav3d, 3d inversion, validation, lower bounds |
author_facet |
Mochamad Aryono Adhi Wahyudi Wahyudi Wiwit Suryanto Muh Sarkowi |
author_sort |
Mochamad Aryono Adhi |
title |
GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion |
title_short |
GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion |
title_full |
GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion |
title_fullStr |
GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion |
title_full_unstemmed |
GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion |
title_sort |
grav3d validation using generalized cross-validation (gcv) algorithm by lower bounds approach for 3d gravity data inversion |
publisher |
Jurusan Ilmu Komputer Universitas Negeri Semarang |
series |
Scientific Journal of Informatics |
issn |
2407-7658 |
publishDate |
2018-11-01 |
description |
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. |
topic |
grav3d, 3d inversion, validation, lower bounds |
url |
https://journal.unnes.ac.id/nju/index.php/sji/article/view/16736 |
work_keys_str_mv |
AT mochamadaryonoadhi grav3dvalidationusinggeneralizedcrossvalidationgcvalgorithmbylowerboundsapproachfor3dgravitydatainversion AT wahyudiwahyudi grav3dvalidationusinggeneralizedcrossvalidationgcvalgorithmbylowerboundsapproachfor3dgravitydatainversion AT wiwitsuryanto grav3dvalidationusinggeneralizedcrossvalidationgcvalgorithmbylowerboundsapproachfor3dgravitydatainversion AT muhsarkowi grav3dvalidationusinggeneralizedcrossvalidationgcvalgorithmbylowerboundsapproachfor3dgravitydatainversion |
_version_ |
1724482557298343936 |