矿井提升事故组合预测模型研究及应用

his paper analyzed mine hoisting accidents countryside, and aimed at the feature that lack of statistics data, established combination forecasting model based on effective measure. Using programming method, synergic curve weighing coefficient for every forecasting model can be solved. The statistics data shows that the combination forecasting model is precise than grey model and neural network model. And combination forecasting model provides a new reliable and effective method for mine hoisting accidents forecasting, so effective precautionary measures can be taken.