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Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example
The first category is deep-learning surrogate-based inversion methods, in which the Theory-guided Neural Network (TgNN) is constructed as a deep-learning surrogate for problems with uncertain model parameters.
Ensemble Neural Networks (ENN): A gradient-free stochastic method
The covariance matrices are calculated by the ensemble randomized maximum likelihood algorithm (EnRML), which is an inverse modeling method.
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