Research Article

Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model

Table 3

Network learning sample.

Evaluation indexNetwork learning sample (enterprises)
12345678

Employee medical insurance rate (%)0.850.800.740.710.630.630.520.50
Per capita housing area of employees (m2/person)0.900.900.810.780.750.800.730.74
Average education level of employees0.900.900.800.700.800.600.400.60
Enrollment rate of employees' children (%)0.880.960.850.890.880.780.790.94
Reserve production ratio (%)1.001.001.001.001.001.001.001.00
Recovery ratio (%)0.880.780.920.880.810.790.690.77
Comprehensive utilization degree of resources0.800.900.800.600.700.800.800.60
Proportion of non-coal industry (%)0.550.520.540.450.400.420.430.38
Total efficiency of raw coal (t/person)0.630.620.560.700.550.520.440.45
Per capita income of miners (Yuan/month)0.860.800.770.550.630.450.700.66
Ratio of profits and taxes on funds (%)1.001.001.001.000.800.800.700.70
Land reclamation rate of mining area (%)0.420.500.420.220.310.360.430.33
Standard rate of noise control in mining area (%)0.880.850.770.800.720.680.650.50
Standard rate of wastewater treatment in mining area (%)0.900.800.800.780.750.600.560.54
Standard rate of waste gas treatment in mining area (%)0.880.860.770.780.720.880.890.91
Standard rate of solid waste discharge in mining area (%)0.900.800.700.700.550.560.450.45
Million ton mortality (%)1.001.001.001.001.001.000.950.94