Comparison of standalone and hybrid machine learning models for prediction of critical heat flux in vertical tubes

HIGHLIGHTS

• who: Rehan Zubair Khalid and colleagues from the Department of Chemical, Institute of and, Sino-French Joint Institute (DCI), Dongguan University of Technology (DGUT), Dongguan, China have published the research: Comparison of Standalone and Hybrid Machine Learning Models for Prediction of Critical Heat Flux in Vertical Tubes, in the Journal: Energies 2023, 3182 of /2023/
• what: The authors proposed a hybrid model based on an artificial neural network (ANN) to improve the prediction accuracy of CHF. The results of this study demonstrate that the proposed hybrid model performs better than standalone machine learning models such . . .
  

   

  

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