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

下载

页数：2

共 50 条

[21] Data-Driven ICS Network Simulation for Synthetic Data Generation
Kim, Minseo
Jeon, Seungho
Cho, Jake
Gong, Seonghyeon
ELECTRONICS, 2024, 13 (10)
[22] Data-Driven Finite Element Models of Passive Filamentary Networks
Adam, Brian
Mitran, Sorin
COMPLEXITY, 2018,
[23] Process of Threshold of Fault Diagnosis Expert System in LAN Based on BP Neural Network
Yang Xiaoqing
Cai Tao
Chen Jie
PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 7, 2008, : 466 - 468
[24] A data-driven neural network architecture for sentiment analysis
Cano, Erion
Morisio, Maurizio
DATA TECHNOLOGIES AND APPLICATIONS, 2019, 53 (01) : 2 - 19
[25] Data-driven performance metrics for neural network learning
Alessandri, Angelo
Gaggero, Mauro
Sanguineti, Marcello
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2023,
[26] A Two-dimensional Finite Element Mesh Generation System
Lei, Jiang
2011 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND APPLICATIONS, 2011, : 11 - 15
[27] Predicting flow-induced vibrations of tandem square cylinders using finite element simulations and data-driven neural network model
Behara, Suresh
Ravikanth, B.
Chandra, Venu
OCEAN ENGINEERING, 2024, 308
[28] Data-Driven Neural Network-Based Learning For Regression Problems In Robotics
Huu-Thiet Nguyen
Cheah, Chien Chern
IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 581 - 586
[29] A novel construction method of convolutional neural network model based on data-driven
Zou, Guo-feng
Fu, Gui-xia
Gao, Ming-liang
Shen, Jin
Yin, Li-ju
Ben, Xian-ye
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (06) : 6969 - 6987
[30] Data-Driven Student Learning Performance Prediction based on RBF Neural Network
Mi C.
International Journal of Performability Engineering, 2019, 15 (06) : 1560 - 1569

← 1 2 3 4 5 →