Interface depth modelling of gravity data and altitude variations: a Bayesian neural network approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04276-9.pdf
Reference58 articles.
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3. Lowrie W (2007) Fundamentals of geophysics, 2nd edn. Cambridge University Press, New York
4. Bott MHP (1960) The use of rapid digital computing methods for direct gravity interpretation of sedimentary basins. Geophys J R Astron Soc 3:63–67
5. Spector A, Grant FS (1970) Statistical models for interpreting aeromagnetic data. Geophysics 35:293–302
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