8 / 2024-05-22 17:23:08
The review of machine learning methods in critical heat flux (CHF)prediction
Critical heat flux(CHF); Machine learning; Predict CHF
全文录用
李 浚枫 / Sun Yat-sen University
The accurate prediction of critical heat flux (CHF) has always been a topic of greatconcern for nuclear power plants. ln the past 30 years, many researchers have tried to usemachine learning to predict CHf, which achieved good results. This paper will review the processof predicting CHF by three machine learning methods, namely support vector machine (SVM),artificial neural network algorithm (ANN) and convolutional neural network (CNN). Theadvantages of these three methods are discussed, the opinions presented can provide referencefor this research field.
重要日期
  • 会议日期

    09月23日

    2024

    09月25日

    2024

  • 09月24日 2024

    报告提交截止日期

  • 09月25日 2024

    注册截止日期

主办单位
Harbin Engineering University (HEU)
历届会议
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询