摘要
分析和确定了影响煤炭开采成本的资源条件因素，探讨了由煤炭资源条件决定的吨煤开采成本（标准开采成本）的预测方法．并以平顶山矿区为例，运用Ｓ曲线确定了开采成本随时间的变化规律，建立了标准开采成本的神经元网络和稳健回归预测模型，取得了良好的效果．
Resource condition factors of influencing coal mining cost are analyzed, and predicting method of cost per ton of mined coal which is determined by coal resource condition (i.e. standard mining cost) is presented. Take Pingdingshan mining area for example, variable rule of mining cost with time is determined by using Scurve, prediction models of coal mining cost, using method of artificial neural network and stabilizing linear regression, are built. A good effect is acquired.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
1999年第2期216-220,共5页
Journal of China Coal Society
关键词
煤炭开采
成本
S曲线
神经元网络
稳健回归
coal mining cost, Scurve, artificial neural network, stabilizing linear regression
