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2D inverse modeling of residual gravity anomalies from Simple geometric shapes using Modular Feed-forward Neural Network
Author(s) -
Ata Eshaghzadeh,
Alireza Hajian
Publication year - 2018
Publication title -
annals of geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 60
eISSN - 2037-416X
pISSN - 1593-5213
DOI - 10.4401/ag-7540
Subject(s) - residual , modular design , inverse , simple (philosophy) , artificial neural network , gravity anomaly , computer science , geology , mathematics , geometry , algorithm , artificial intelligence , operating system , paleontology , philosophy , epistemology , oil field

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