A supervised learning framework for Arbitrary Lagrangian-Eulerian simulations

Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016

Volumn , Issue , 2017, Pages 977-982

  Jiang, Ming ^a   Gallagher, Brian ^a   Kallman, Joshua ^a   Laney, Daniel ^a  

^a LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ITERATIVE METHODS; LAGRANGE MULTIPLIERS; SUPERVISED LEARNING;

ALE METHODS; ARBITRARY LAGRANGIAN EULERIAN; ARBITRARY LAGRANGIAN EULERIAN METHOD; LEARNING FORMULATION; MULTIPHYSICS SIMULATIONS; SCIENTIFIC APPLICATIONS; TEST PROBLEM; TIME MACHINE;

LEARNING SYSTEMS;

EID: 85015371396     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2016.33     Document Type: Conference Paper

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