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基于神经网络的露天矿车铲比预测方法研究
引用本文:董卫军,蔡美峰.基于神经网络的露天矿车铲比预测方法研究[J].金属矿山,1999(1):17-19.
作者姓名:董卫军  蔡美峰
作者单位:北京科技大学
摘    要: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吴矿车铲比,应用表明,该方法预测精度高,适用性强。

关 键 词:车铲比  神经网络  预测  露天矿  生产调度  矿山

Study on the Neural Network based Prediction Method for Truck shovel Ratio in Open pit Mines
Dong Weijun,Cai Meifeng,Li Huafeng.Study on the Neural Network based Prediction Method for Truck shovel Ratio in Open pit Mines[J].Metal Mine,1999(1):17-19.
Authors:Dong Weijun  Cai Meifeng  Li Huafeng
Affiliation:Beijing University of Science and Technology
Abstract: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.
Keywords:Truck  shovel ratio  Neural network  Prediction  
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