A Focused Section on Deep Neural Network Machine Learning for Scientific Computing  

作　　者：Wei Cai 

机构地区：[1]Department of Mathematics,Southern Methodist University,Dallas,TX 75275,USA

出　　处：《Communications on Applied Mathematics and Computation》2021年第2期291-291,共1页应用数学与计算数学学报（英文）

摘　　要：This focused section,edited by Wei Cai,Weinan E,Jan Hesthaven,Dongbin Xiu and Le-xing Ying,presents several recent developments in improving deep neural networks(DNNs)for scientific computing and classification applications.Original research works on DNNs are included on the following topics:drop-activations as regularization,non-intrusive corrections for classifier,complexity of finding sparse representations for high dimensional functions,and discovery of phase field models for multiphase material studies.

关 键 词：DEEP networks NEURAL 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]