摘要
随着露天矿开采深度的不断增加,矿山边坡高度也不断增加,随之而来的是对边坡稳定的维护与控制的难度大大增加。在全球卫星定位系统(GPS)所获得的露天矿边坡位移监测资料的基础上,应用BP神经网络模型对实测数据进行模拟计算和预测。分析结果表明,模型合理、可靠,精度较高。
With the mining depth of the strip mine and the height of the slopes increasing, difficulty of maintaining the stability and control of the slopes becomes bigger. This article based on lots of displacement date monitored by the Global Satellite Position System (GPS).On the basis of the neural network study, the BP neural network model is applied to slope displacement prediction of the mine. The analysis indicates that this model is rational and reliable ,the precision is high.
出处
《露天采矿技术》
CAS
2005年第4期6-8,共3页
Opencast Mining Technology
关键词
人工神经网络
边坡
预测
露天矿
artificial neural networks(ANN)
slope
prediction
