no code implementations • 28 Jul 2020 • Nanzhe Wanga, Haibin Changa, Dongxiao Zhang
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.
no code implementations • 3 Aug 2019 • Yuntian Chena, Haibin Changa, Meng Jina, Dongxiao Zhanga
The covariance matrices are calculated by the ensemble randomized maximum likelihood algorithm (EnRML), which is an inverse modeling method.