Enhancing Deep Learning based RMT Data Inversion using Gaussian Random Field
Enhancing Deep Learning based RMT Data Inversion using Gaussian Random Field
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Deep learning (DL) methods have emerged as a powerful tool for the inversion of geophysical data. When applied to field data, these models often struggle without additional fine-tuning of the network. This is because they are built on the assumption that the statistical patterns in the training and test datasets are the same. To address this, we pr...
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Enhancing Deep Learning based RMT Data Inversion using Gaussian Random Field
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TN_cdi_proquest_journals_3121796857
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3121796857
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2331-8422
