Application of knn-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects

HIGHLIGHTS

• who: Muhammad Kamran from the Jashore University of Science and Technology, Bangladesh have published the paper: Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects, in the Journal: (JOURNAL)
• what: This study evaluated several ensembles learning algorithms, including RF, adaptive boosting, gradient boosting decision tree, XGBoost, and light gradient boosting machine (LightGBM).
• how: The following three steps are provided in this study to forecast the short-term rockburst 1) To begin with the original rockburst database`s magnification was reduced using . . .
  

   

  

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