您当前的位置：
首页 >
文章列表页 >
Prediction of interfacial area concentration based on interpretable neural network
NUCLEAR PHYSICS, INTERDISCIPLINARY RESEARCH | 更新时间：2024-10-25
|

    • Prediction of interfacial area concentration based on interpretable neural network

    • “In the field of two-phase flow research, experts have established an interface area concentration prediction model based on neural networks. Through interpretability analysis and data preprocessing, the model's predictive ability has been significantly improved.”
    • NUCLEAR TECHNIQUES   Vol. 47, Issue 8, Article number: 080502(2024)

    • DOI：10.11889/j.0253-3219.2024.hjs.47.080502    

      CLC： TL334

    • Received：15 March 2024，

      Published：15 August 2024

    移动端阅览

  • ZHOU Yuhao,XU Wangtao,LIU Li,et al.Prediction of interfacial area concentration based on interpretable neural network[J].NUCLEAR TECHNIQUES,2024,47(08):080502-080502. DOI： 10.11889/j.0253-3219.2024.hjs.47.080502.

  •  
  •  

0

Views

218

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Two-phase flow instability in multi-parallel channels of helical-coiled once-through steam generator
Development and verification of code for simulation of vapor-liquid two phase 2D pressure wave propagation

Related Author

YU Tao
WANG Xu
ZHAO Ya'nan
QIAN Guanhua
ZHANG Muhao
PAN Qiwen
GU Zhixing
GONG Zhengyu

Related Institution

School of Nuclear Science and Technology, University of South China
Key Lab of Advanced Nuclear Energy Design and Safety, Ministry of Education
China Nuclear Engineering Consulting Co., Ltd.
College of Nuclear Technology and Automation Engineering, Chengdu University of Technology
Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China
0