预测煤矿回采工作面产量的BP网络模型

BP Neural Network Modeling for Predicting Coal Production of Working Face

在分析了煤层开采条件、回采与运输设备能力与可靠性及管理与作业人员水平等影响煤矿月度日产量均值和方差的九种因素的基础之上，用ＢＰ网络来逼近预测对象与主要因素的复杂的非线性关系。

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.