文献类型：期刊文献

英文题名：Instability warning model of open-pit mine slope based on BP neural network

作者：Xie, Zhenhua[1]; Liang, Shasha[2]; Luan, Tingting[2]

机构：[1] Department of Safety Engineering, China Institute of Industrial Relations, Beijing, China; [2] Civil and Environment Engineering School, University of Science and Technology Beijing, Beijing, China

年份：2014

起止页码：225

外文期刊名：Civil Engineering and Urban Planning III

收录：EI(收录号：20184906186127)

语种：英文

外文关键词：Backpropagation - Infiltration - Open pit mining

外文摘要：The study of slope instability has always been a key technical issue for the safe production in open-pit mine. In order to establish an early warning model based on back propagation (BP) neural network, adhesion, internal friction angle, slope angle, slope height, ratio of pore water pressure and bulk density were selected as system input units. Twenty sets of sample data selected were used for completing the training of BP neural network. Lastly, the early warning model was used for two working slopes of a certain Iiron mine for early warning analysis on slope instability. The conclusions were accordant with the current actual situation and the methods discussed were worth being applied and spread. ? 2014 Taylor & Francis Group, London.