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A Highly Reliable Metadata Service for Large-Scale Distributed File Systems
2019
IEEE Transactions on Parallel and Distributed Systems
Simulation of a geostratigraphic unit is of vital importance for the study of geoinformatics, as well as geoengineering planning and design. A traditional method depends on the guidance of expert experience, which is subjective and limited, thereby making the effective evaluation of a stratum simulation quite impossible. To solve this problem, this study proposes a machine learning method for a geostratigraphic series simulation. On the basis of a recurrent neural network, a sequence model of
doi:10.1109/tpds.2019.2937492
fatcat:qbofvapbknhqfl4qbqyh3zm3m4