摘要
提出了适合于露天矿边坡稳定性分析的岩体结构类型划分的神经网络方法，并利用该模型对我国典型矿山典型剖面的岩体结构类型进行了划分。结果表明。
The thesis provides neural network method for partitioning of rock mass structure type which is suitable to slope stability analysis in strip mine,and utilizes this model to compartmentalize rock mass structure type of typical sections in typical mines.It shows that the neural network method is both handy and practical to partition rock mass structure type.
出处
《黄金》
CAS
北大核心
1999年第8期18-21,共4页
Gold
关键词
神经网络
露天矿
岩体结构类型
neural network
strip mine
rock mass structure type
