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Application of Multitask Learning for 2-D Modeling ...
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由 T Shan 著作2021被引用 26 次 — 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 ...
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2024年12月9日 — In this article, multitask learning is applied to forward modeling of 2-D magnetotellurics (MT) to predict the apparent resistivity and ...
Application of Multitask Learning for 2-D Modeling of ...
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由 T Shan 著作2021被引用 26 次 — This article demonstrates the possibility of building up an EM solver based on a multitask learning scheme and providing a fast and reliable simulation of ...
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Application of multitask learning for 2-D modeling of magnetotelluric surveys: TE case. T Shan, R Guo, M Li, F Yang, S Xu, L Liang. IEEE Transactions on ...
Application of the Rayleigh-FFT technique to ...
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由 GR Jiracek 著作1989被引用 44 次 — Application of Multitask Learning for 2-D Modeling of Magnetotelluric Surveys: TE Case. 2022, IEEE Transactions on Geoscience and Remote Sensing. View all ...
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Average relative error curve of the apparent resistivity (A) ...
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In this article, multitask learning is applied to forward modeling of 2-D magnetotellurics (MT) to predict the apparent resistivity and impedance phase of ...
Application of supervised descent method for 2D ...
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由 R Guo 著作2020被引用 50 次 — The supervised descent method (SDM) is applied to 2D magnetotellurics (MT) data inversion. SDM contains offline training and online prediction.
Lin Liang (0000-0002-4879-4642)
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Application of Multitask Learning for 2-D Modeling of Magnetotelluric Surveys: TE Case. IEEE Transactions on Geoscience and Remote Sensing. 2022 | Journal ...
Simulating 2-D magnetotelluric responses using vector ...
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由 P Mukwachi 著作2024 — Furthermore, in 2021, ANN with multitask learning were employed in 2-D MT forward modeling to predict apparent resistivity and phase (Shan et al ...
8. The Magnetotelluric Method
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由 K Vozoff 著作1991被引用 899 次 — Application of Multitask Learning for 2-D Modeling of Magnetotelluric Surveys: TE Case. 1 Jan 2022 | IEEE Transactions on Geoscience and Remote Sensing, Vol ...
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