摘要
本文提出了预测回采巷道维护费用的一种新方法，即人工神经网络预测法。该方法以大量的实际例子为学习样本，让网络学习，以建立各种回采巷道的特征与对应的巷道维护费用之间的非线性映射，再根据待预测的回来巷道的特征，预测出其维护费用。文中给出的例子的计算结果，说明了此方法是切实可行的。
This paPer presents a new approach to predict the maintenance cost of mining roadways, i.e. a methed based on artificial neural network principle. The nonlinear mapping between characteristics of mining roadways and maintenance cost of that is learned from case histories and used to predict the mainte-nance cost- The exampie give in this paper demonstrates that this method is feasible.
出处
《中国矿业》
1996年第5期74-77,共4页
China Mining Magazine
基金
煤炭科学基金
关键词
神经网络
回采巷道
维护费
Neural network, The maintenance cost of mining roadways
