谷歌浏览器插件
订阅小程序
在清言上使用

Efficient Physical Truncation of Low-Frequency ATEM Problems in Specific Geometries by Using Random Forest Regression Based PMM Model

Naixing Feng, Shuiqing Zeng, Huan Wang,Yuxian Zhang,Zhixiang Huang

IEEE JOURNAL ON MULTISCALE AND MULTIPHYSICS COMPUTATIONAL TECHNIQUES(2025)

引用 0|浏览5
关键词
Computational modeling,Accuracy,Finite difference methods,Decision trees,Solid modeling,Random forests,Time-domain analysis,Training,Three-dimensional displays,Electromagnetics,Airborne transient electromagnetics (ATEMs),finite-difference time-domain (FDTD),perfectly matched monolayer (PMM),random forest Regression (RFR)
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要