Evaluation Method of Mine Ventilation System Based on Grey Relational and Support Vector Machine Mode

In order to improve the evaluation accuracy of the existing ventilation system, make up for the deficiency of single-factor evaluation method, the paper adds weight and optimizes the gray model by analyzing the specific characteristics of the different coal mine ventilation systems. With considering of actual situation that the data of mine ventilation system is difficult to collect, the paper contacts with the small-sample properties of SVM model to establish a new and effective evaluation system. The instance verifies that the system can improve the prediction-accuracy effectively, simplifies the system operation process in the meantime, which has a widespread application prospect.