Research Article

Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier

Table 5

Comparison of prediction results by different methods for the testing samples.

S. No.σθ (MPa)σc (MPa)σt (MPa)WetActualRussenes criterion [55]Rock brittleness coefficient criterion [48]Elastic energy index [46]ANN [41]CNN [41]RT [42]J48 [42]AdaBoost (present study)

1341505.47.8122311111
260.7111.57.866.16434344444
354.21349.097.08333333333
470.31298.736.43333333333
535133.49.32.9224222222
6157.391.236.926.27444344444
7148.466.773.815.08243322222
8132.151.52.474.63343223333
9127.935.821.243.67242222222
10107.521.50.62.29142211111
1196.4118.320.381.87141111111
12167.2110.38.366.83444344444
1338.2533.91.6144111111
1411.3904.83.6113211111
159226310.78233322222
1662.42359.59423344434
1743.4136.57.25.6433334444
18111054.94.7113211111
199017011.39333333333
20902207.47.3232322222
2162.61659.49233322222
2255.41767.39.3333343333
233088.73.76.6333333333
2448.751808.35323333333
25801806.75.5232322222
26892368.35332333333
2798.61206.53.8343233333
28108.414085443344444