摘要
回采巷道锚杆支护参数的确定， 一直是煤巷支护设计的重点和难点． 本文尝试应用误差逆传播和模拟退火混合算法人工神经网络预测锚杆支护参数， 结果表明这一方法具有快速、简便、实用和智能化特点， 可大大提高锚杆支护参数选择的科学性、合理性和有效性．
To determine the mining tunnel bolt?supporting parameters is important but difficult in coal tunnel supporting design all the time.The authors have tried to use the mixed learning algorithm of error back propagation and simulated annealing algorithm to predict the bolt?supporting parameters.The result indicates that this method is speedy,easy,practical and intelligent.The selection of the bolt?supporting parameters will be more scintifical,rational and effective in this way.
出处
《焦作工学院学报》
CAS
1999年第6期402-405,共4页
Journal of Jiaozuo Institute of Technology(Natural Science)
关键词
回采巷道
锚杆支护
神经网络
预测
mining tunnel
bolt-supporting
neural network
prediction
