Data-driven finite element mesh generation expert system based on BP neural network

被引：0

作者：

Niu, Yufeng ^{[1
]}

Wang, Shuhong ^{[1
]}

Duan, Nana ^{[1
]}

Zhang, Naming ^{[1
]}

Wang, Yilun ^{[1
]}

He, Zhenggang ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Elect Engn, State Key Lab Elect Insulat & Power Equipment, Xian, Peoples R China

来源：

2024 IEEE 21ST BIENNIAL CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION, CEFC 2024 | 2024年

关键词：

backpropagation neural network; mesh generation; posterior error; mesh size field;

D O I：

10.1109/CEFC61729.2024.10585893

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper establishes a fully connected neural network to determine the finite element mesh density. Given an initial mesh in the domain to be solved, the mesh density is obtained according to the calculation error of the solution problem. This method can generate high-quality meshes, but does not require much expert knowledge.

引用

页数：2

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