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Stacked autoencoders based machine learning for noise reduction and signal reconstruction in geophysical data
Autoencoders are neural network formulations where the input and output ...
07/07/2019 ∙ by Debjani Bhowick, et al. ∙
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Deep Autoassociative Neural Networks for Noise Reduction in Seismic data
Machine learning is currently a trending topic in various science and en...
05/01/2018 ∙ by Debjani Bhowmick, et al. ∙
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Velocity-Porosity Supermodel: A Deep Neural Networks based concept
Rock physics models (RPMs) are used to estimate the elastic properties (...
04/19/2018 ∙ by Debjani Bhowmick, et al. ∙
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