Application of Multitask Learning for 2-D Modeling of Magnetotelluric Surveys: TE Case
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DOI: 10.1109/tgrs.2021.3101119
Abstract: In this article, multitask learning is applied to forward modeling of 2-D magnetotellurics (MT) to predict the apparent resistivity and impedance phase of MT data. Multitask learning can learn multiple objectives simultaneously based on the… read more here.
Keywords: apparent resistivity; multitask; resistivity impedance; multitask learning ... See more keywords