A Survey of Bayesian Calibration and Physics-informed Neural Networks in Scientific Modeling
作者： Felipe A. C. Viana , Arun K. Subramaniyan
DOI: 10.1007/S11831-021-09539-0
关键词: Scientific modelling 、 Physical system 、 Machine learning 、 Implementation 、 Field (computer science) 、 Software 、 Artificial neural network 、 Artificial intelligence 、 Flexibility (engineering) 、 Calibration (statistics)
摘要: … Secondly, we also survey physics-informed neural networks, a … physics-informed neural networks can be built to quantify model-form uncertainty in the prediction of corrosion-fatigue …
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pml-ucf.github.io 参考文章(253)
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