Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond
Titel:
Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond
Auteur:
Lu, Ye Li, Hengyang Zhang, Lei Park, Chanwook Mojumder, Satyajit Knapik, Stefan Sang, Zhongsheng Tang, Shaoqiang Apley, Daniel W. Wagner, Gregory J. Liu, Wing Kam
Verschenen in:
Computational mechanics
Paginering:
Jaargang 72 () nr. 2 pagina's 333-362
Jaar:
2023-05-16
Inhoud:
Uitgever:
Springer Berlin Heidelberg, Berlin/Heidelberg
Bronbestand:
Elektronische Wetenschappelijke Tijdschriften