articleJournal of Computational PhysicsJul 26, 2019GREEN OA

Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems

DZDongkun ZhangLLLu LuLGLing GuoGEGeorge Em Karniadakis

Brown University · Shanghai Normal University

Indexed inarxivcrossref

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489
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28.53
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100%
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103
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4

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Topics
Keywords
  • Uncertainty quantification
  • Polynomial chaos
  • Parametric statistics
  • Artificial neural network
  • Stochastic differential equation
  • Computer science
  • Residual
  • Mathematical optimization
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