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基于神经网络的岩体边坡稳定性的灰色聚类空间预测法及其应用
引用本文:谢全敏,夏元友,朱瑞赓.基于神经网络的岩体边坡稳定性的灰色聚类空间预测法及其应用[J].灾害学,2001,16(2):1-6.
作者姓名:谢全敏  夏元友  朱瑞赓
作者单位:武汉理工大学,
基金项目:国家自然科学基金项目(49902022)
摘    要:针对岩体边坡稳定性与影响因素之间的非线性关系,提出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。

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
文章编号:1000-811X(2001)02-0001-06
修稿时间:2000年11月18

A method of grey cluster spatial prediction of rock-mass slope stability based on artificial neural network and its application
XIE Quan-min,XIA Yuan-you,Zhu Rui-gen.A method of grey cluster spatial prediction of rock-mass slope stability based on artificial neural network and its application[J].Journal of Catastrophology,2001,16(2):1-6.
Authors:XIE Quan-min  XIA Yuan-you  Zhu Rui-gen
Abstract: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.
Keywords:stability of rock-mass slopes  artificial neural network  grey cluster  spatial prediction  effecting factors  nonlinear relation
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