Intelligent prediction of landslide displacements based on optimized empirical mode decomposition and K-Mean clustering
ZHANG Kai1, ZHANG Ke1,2, BAO Rui3, LIU Xiang-hua2, QI Fei-fei1
1. Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China;
2. Faculty of Civil and Architectural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China;
3. Kunming Prospecting Design Institute of China Nonferrous Metals Industry Co., Ltd., Kunming, Yunnan 650051, China
This work was supported by the National Natural Science Foundation of China (11902128) and the Applied Basic Research Foundation of Yunnan Province (2019FI012, 2018FB093).
ZHANG Kai, ZHANG Ke, BAO Rui, LIU Xiang-hua, QI Fei-fei, . Intelligent prediction of landslide displacements based on optimized empirical mode decomposition and K-Mean clustering[J].Rock and Soil Mechanics, 2021, 42(1): 211-223.