BP Neural Network Modeling for Predicting Coal Production of Working Face
预测煤矿回采工作面产量的BP网络模型

In this paper, nine types of factors that affected the output of coal are analyzed at first, which cover the coal minability conditions, coal mining and transporting capacity and reliability, as well as management and operation level. By use of the nine types of factors, a BP neural network model has been built to reflect the responded relations between the facors and the output of coal. The simulation results show that the BP neural network model forecasted the output of coal more effectively than regression model did.