为提高现有通风系统评价准确率,弥补各单因素评价方法的不足,通过分析不同煤矿通风系统的具体特征,加入权重,优化灰色模型。同时考虑到矿井通风系统数据较难收集的实际情况,联系符合小样本特性的SVM模型,建立一种新型高效评价体系。经实例验证,该模型能有效提高预测准确率,并简化同系统下运算过程,具有广泛的应用前景。 In order to improve the accuracy of the existing ventilation system evaluation and make up for the shortcomings of each single factor evaluation method, the gray model was optimized by analyzing the specific characteristics of different ventilation systems in coal mines, adding the weights. At the same time, taking into account the mine ventilation system data is difficult to collect the actual situation, contact with small sample characteristics of the SVM model, the establishment of a new type of high efficiency evaluation system. The example verified that the model can effectively improve the prediction accuracy and simplify the operation under the same system, which has a wide range of application prospects.