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A hybrid data driven-physics constrained Gaussian process regression
  framework with deep kernel for uncertainty quantification

A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification

13 May 2022
Che-Chia Chang
T. Zeng
    GP
ArXivPDFHTML

Papers citing "A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification"

1 / 1 papers shown
Title
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian
  Process: A New Insight into Machine Learning Applications
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
Yun Yuan
X. Yang
Zhao Zhang
Shandian Zhe
AI4CE
34
96
0
06 Feb 2020
1