您当前的位置：
首页 >
文章列表页 >
Layout optimization of key chips for nuclear safety level DCS based on SVR-PSO
NUCLEAR ELECTRONICS AND INSTRUMENTATION | 更新时间：2025-09-01

    • Layout optimization of key chips for nuclear safety level DCS based on SVR-PSO

    • “This study utilizes machine learning methods to optimize the layout of key chips in nuclear safety grade DCS, effectively reducing operating temperature rise and improving system reliability.”
    • NUCLEAR TECHNIQUES   Vol. 48, Issue 8, Article number: 080401(2025)

    • DOI：10.11889/j.0253-3219.2025.hjs.48.240428    

      CLC： TL362

    • Received：31 October 2024，

      Revised：27 December 2024，

      Published：15 August 2025

    移动端阅览

  • WANG Fanyu,WANG Dongwei,CHEN Qi,et al.Layout optimization of key chips for nuclear safety level DCS based on SVR-PSO[J].NUCLEAR , TECHNIQUES,2025,48(08):080401. DOI： 10.11889/j.0253-3219.2025.hjs.48.240428. CSTR： 32193.14.hjs.CN31-1342/TL.2025.48.240428.

  •  
  •  

0

Views

1

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

Machine learning-based prediction of cation distribution coefficients in bentonite
Machine learning methods for studying heavy-ion fusion cross sections
The development and application of deep learning in high-energy nuclear physics
Continuous Bayesian probability estimator in predictions of nuclear masses
Nucleon separation energy predictions with the Kernel ridge regression

Related Author

YANG Xin
ZHANG Kunming
CHEN Tao
LI Zhilong
WANG Yongjia
LI Qingfeng
ZHANG Jingzong
GUO Shuang

Related Institution

Beijing Key Laboratory of Passive Nuclear Energy Safety Technology, North China Electric Power University
School of Nuclear Science and Engineering, North China Electric Power University
School of Science, Huzhou University
China Institute of Atomic Energy
Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS), RIKEN, Wako
0