Abstract: In order to achieve "less measurement" or even "exception" of the mine ventilation resistance coefficient,and to improve the accuracy of the mine ventilation system simulation,a method for inversion of the mine ventilation resistance coefficient based on random forests was established.Eleven indexes related to the cross section of the roadway,the roadway perimeter and the support form that mainly affect the roadway ventilation resistance coefficient are selected as the inversion indexes of the ventilation resistance coefficient of the random forest mine.Through training and learning of 115 measured roadway parameters,and using 5 roadways as verification samples,the verification results are basically consistent with the measured results.It shows that the mine ventilation resistance coefficient inversion based on random forest algorithm has better accuracy and stability.

Key words: Mine ventilation,Random forest,Ventilation resistance coefficient,Inversion