摘要
基于人工神经网络原理， 构筑锚杆支护设计多级人工神经网络， 在围岩分类的基础上，进行煤巷锚杆支护形式和参数优化设计． 应用结果表明， 该方法操作简便， 可靠性高， 具有先进性， 有较高的实用价值和广阔的应用前景．
On the basis of artificial neural networks theory and surrounding rock classification, the multi level artificial neural networks system about bolt supporting has been constructed to choose support styles, the optimum support parameters and so on The research results show that the multi-level network system is of high reliability, easy operation and advance, and bears a very high practical value and wide application future.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
1999年第6期599-604,共6页
Journal of China Coal Society
关键词
人工神经网络
回采巷道
锚杆支护
参数设计
artificial neural networks
gateway
bolt supporting
parameters design
