Research Article

Advanced Computational Methods for Mitigating Shock and Vibration Hazards in Deep Mines Gas Outburst Prediction Using SVM Optimized by Grey Relational Analysis and APSO Algorithm

Table 1

Part sample data of #3 coal seam 31004 driving face.

NumberRisk

13.0015.500.367.780.303.4036.00351.002.401
23.0015.700.367.760.203.6062.00366.002.401
32.0015.750.367.810.303.2078.00366.002.401
42.0015.560.367.300.303.8047.00367.002.401
53.0015.800.367.050.273.0021.00364.002.401
63.0018.550.369.920.303.415.00363.002.602
73.0015.690.367.460.283.4035.00365.002.401
83.0017.660.289.320.350.3126.00366.002.102
93.0017.560.3610.060.210.3215.00366.002.102
103.0016.690.3013.880.383.49.00368.002.103

Note: means coal destruction type; means gas release initial velocity; means coal firmness coefficient; means coal seam gas content; means gas desorption index-K1; means drill cuttings volume; means geological structure zone distance; means coal seam depth; means coal seam thickness; “Risk” means the gas outburst risk.