Combustion regime identification in turbulent non-premixed flames with principal component analysis, clustering and back-propagation neural network

HIGHLIGHTS

• who: Hanlin Zhang et al. from the School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, China have published the paper: Combustion Regime Identification in Turbulent Non-Premixed Flames with Principal Component Analysis, Clustering and Back-Propagation Neural Network, in the Journal: Processes 2021, 9, x FOR PEER REVIEW 10 of 16 Figure Figure 6. 6. The Theclustering clusteringanalysis analysisresults results are arecompared compared with with the theHRR HRR(20% (20%of ofthe themaximum) maximum)isolines: isolines: of 20/08/2022
• what: This study proposes a identification (CRI) method based on . . .
  

   

  

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