Open AccessMachine learning for the prediction and Analysis of Bouguer Gravity anomaly of the Kiri uplift in Congo sedimentary Basin
Author(s) -
Raïs Seki Lenzo,
Munezero Ntibahanana,
Tondozi Keto,
Moïse Luemba,
Gradi Kalonji Lelo,
Emmanuel Balu Phoba,
Kevin Lumpungu Lutumba,
Jeaney Lusongo Elua,
Ange Kra
Publication year - 2022
Publication title -
international journal of advances in scientific research and engineering
Language(s) - English
Resource type - Journals
ISSN - 2454-8006
DOI - 10.31695/ijasre.2022.8.7.3
Subject(s) - geology , bouguer anomaly , artificial neural network , algorithm , mean squared error , computer science , machine learning , gravity anomaly , artificial intelligence , data mining , mathematics , statistics , paleontology , oil field