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基于BP神经网络的工作面周期来压预测
引用本文:贺超峰,华心祝,杨科,马菁花.基于BP神经网络的工作面周期来压预测[J].安徽理工大学学报(自然科学版),2012(1):59-63.
作者姓名:贺超峰  华心祝  杨科  马菁花
作者单位:安徽理工大学能源与安全学院
摘    要:针对现有工作面周期来压预测方法在算法结构复杂、计算量较大等问题,探索一种高效、准确、易于使用的工作面周期来压预测方法。以淮南潘集矿区20个已采工作面作为工程研究背景,采用BP神经网络预测原理,在分析工作面周期来压的影响因素基础之上,设计出一种基于BP神经网络的工作面周期来压预测方法,通过MATLAB编程实验表明BP神经网络在工作面周期来压的预测中具有较高的精度。

关 键 词:工作面周期来压  BP神经网络  MATLAB编程

Forecast of Periodic Weighting in Working Face Based on Back-propagation Neural Network
HE Chao-feng,HUA Xin-zhu,YANG Ke,MA Jing-hua.Forecast of Periodic Weighting in Working Face Based on Back-propagation Neural Network[J].Journal of Anhui University of Science and Technology:Natural Science,2012(1):59-63.
Authors:HE Chao-feng  HUA Xin-zhu  YANG Ke  MA Jing-hua
Institution:(School of Energy and Safety,Anhui University of Science and Technology,Huainan Anhui 232001,China)
Abstract:In order to solve the problems of complex algorithm structure and heavyworkload of calculation in periodic weighting forecasting,a kind of high efficient,accurate and easy to use method of periodic weighting forecasting was developed.20 working faces in Huainan Panji mining area were taken as study objects,adopting BP neural network principles,on the basis of analysis of influencing factors on periodic weighting,a kind of periodic weightingforecasting method based on BP neural network was developed.Experiments based on MATLAB programming showed that by BP neural network periodic weighting prediction is precisious.
Keywords:periodic weighting  Back-propagation neural network  MATLAB programming
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