摘要
潜在滑坡的识别涉及到多种因素间的相互作用和相互耦合,常规方法难以准确描述影响因素间相互耦合作用对斜坡稳定性的影响。结合前人的研究成果,引入岩石工程系统(RES)理论的交互作用矩阵构造和编码原理,提出了基于BP网络潜在滑坡识别模型,推导了在该识别模型下实现交互作用矩阵的编码及考虑多因素相互作用权重确定的流程,并将其运用于潜在土质滑坡判别中。研究结果表明:运用此识别模型,不仅能够实现对潜在滑坡识别,同时能够实现基于多因素交互作用影响的各识别指标权重的确定。
The stability of a potential landslide involves the interaction and inter-coupling of multi-factors.So it is very difficult to evaluate the interaction relationship among the influencing factors quantitatively and determine weight considering multi-factors.Therefore according to other scholars’ achievement and the principle of rock engineering system theory’s matrix construction and decoding,a new potential landslide identification model is suggested based on improved BP network.Then,the arithmetic flow of coding interaction matrix and considering multi-factors determine weight are deduced.At last,the model is applied to identify potential soil landslides.The research results show that the parameters analysis of artificial neural network can be used not only to potential landslide identification but also to determine weight considering multi-factors.
出处
《工程地质学报》
CSCD
北大核心
2014年第3期456-463,共8页
Journal of Engineering Geology
基金
贵州省地质灾害监测预警与支持平台建设项目基金(Z113278)资助
