Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond
Ye Lu, Hengyang Li, Lei Zhang, Chanwook Park, Satyajit Mojumder, Stefan Knapik, Zhongsheng Sang, Shaoqiang Tang, Daniel W. Apley, Gregory J. Wagner, Wing Kam Liu
Topics & Concepts
Finite element methodConvolution (computer science)DiscretizationApplied mathematicsBasis functionIsogeometric analysisInterpolation (computer graphics)Computer scienceMathematicsArtificial neural networkMathematical optimizationAlgorithmMathematical analysisArtificial intelligenceMotion (physics)ThermodynamicsPhysicsAdvanced Numerical Analysis TechniquesNumerical methods in engineeringModel Reduction and Neural Networks