Data-Driven Inverse Modeling with Incomplete Observations by Kailai Xu
32:12
YouTubeMLPS - Combining AI and ML with Physics Sciences
Data-Driven Inverse Modeling with Incomplete Observations by Kailai Xu
Kailai Xu (Stanford), Data-Driven Inverse Modeling with Incomplete Observations Deep neural networks (DNN) have been used to model nonlinear relations between physical quantities. Those DNNs are embedded in physical systems described by partial differential equations (PDE) and trained by minimizing a loss function that measures the discrepancy ...
1.7K viewsMar 30, 2020
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