基于神经网络的露天矿车铲比预测方法研究

Study on the Neural Network based Prediction Method for Truck shovel Ratio in Open pit Mines

针对矿山生产调度中汽车－电铲合理调配的问题，将神经网络理论应用于预测露天矿车铲比。应用表明，该方法预测精度高，适用性强。

In view of the problem of the rational allocation of trucks and electrical shovels in the mine production dispatching,the neural network theory is used in predicting the truck-shovel ratio of open-pit mines.The application results show that this method has a high prediction accuracy and a strong applicability.