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A novel type of neural networks for feature engineering of geological data: Case studies of coal and gas hydrate-bearing sediments

from Geoscience Frontiers

A novel type of neural networks for feature engineering of geological data: Case studies of coal and gas hydrate-bearing sediments Geoscience Frontiers The nature of the measured data varies among different disciplines of geosciences. In rock engineering, features of data play a leading role in determining the feasible methods of its proper manipulation. The present study focuses on resolving one of the major deficiencies of conventional neural networks (NNs) in dealing with rock engineering data. READ MORE

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