摘要
针对岩体边坡稳定性与影响因素之间的非线性关系 ,提山了基于神经网络的岩体边坡稳定性的灰色聚类空间预测法。结合实例仿真分析 ,表明该方法能较好地处理岩体边坡稳定性与影响因素之间的灰色非线性关系 ,同时 ,能比较准确地预测岩体边坡的稳定性。
In view of the nonlinear relation of rock-mass slope stability and the effecting factors, a method of grey cluster spatial prediction of rock-mass slope stability is presented based on artificial neural network. Instance simulation analysis indicates that the grey nonlinear relation of rock-mass stability and the effecting factors can be explained with this method. At the same time, the stability of rock-mass slope can be predicted by use of this method.
出处
《灾害学》
CSCD
2001年第2期1-6,共6页
Journal of Catastrophology
基金
国家自然科学基金!项目 (4 990 2 0 2 2 )
关键词
岩体边坡
稳定性
神经网络
灰色聚类
空间预测
非线性映射
stability of rock-mass slopes
artificial neural network
grey cluster
spatial prediction
effecting factors
nonlinear relation
