Rock and Soil Mechanics ›› 2022, Vol. 43 ›› Issue (8): 2287-2295.doi: 10.16285/j.rsm.2021.1578
• Geotechnical Engineering • Previous Articles Next Articles
JIANG Wei1, 2, 3, OUYANG Ye1, YAN Jin-zhou1, WANG Zhi-jian1, LIU Li-peng3
CLC Number:
[1] | JIANG Yu-hang, WANG Wei, ZOU Li-fang, WANG Ru-bin, LIU Shi-fan, DUAN Xue-lei, . Research on dynamic prediction model of landslide displacement based on particle swarm optimization-variational mode decomposition, nonlinear autoregressive neural network with exogenous inputs and gated recurrent unit [J]. Rock and Soil Mechanics, 2022, 43(S1): 601-612. |
[2] | YAN Chang-bin, WANG He-jian, YANG Ji-hua, CHEN Kui, ZHOU Jian-jun, GUO Wei-xin, . Predicting TBM penetration rate with the coupled model of partial least squares regression and deep neural network [J]. Rock and Soil Mechanics, 2021, 42(2): 519-528. |
[3] | FANG Yu-wei, WU Zhen-jun, SHENG Qian, TANG Hua, LIANG Dong-cai, . Intelligent recognition of tunnel stratum based on advanced drilling tests [J]. Rock and Soil Mechanics, 2020, 41(7): 2494-2503. |
[4] | KUANG Du-min, LONG Zhi-lin, ZHOU Yi-chun, YAN Chao-ping, CHEN Jia-min, . Prediction of rate-dependent behaviors of cemented geo-materials based on BP neural network [J]. Rock and Soil Mechanics, 2019, 40(S1): 390-399. |
[5] | ZHAO Jiu-bin, LIU Yuan-xue, LIU Na, HU Ming, . Spatial prediction method of regional landslide based on distributed bp neural network algorithm under massive monitoring data [J]. Rock and Soil Mechanics, 2019, 40(7): 2866-2872. |
[6] | MA Chun-hui, YANG Jie, CHENG Lin, LI Ting, LI Ya-qi, . Adaptive inversion analysis of material parameters of rock-fill dam based on QGA-MMRVM [J]. Rock and Soil Mechanics, 2019, 40(6): 2397-2406. |
[7] | ZHONG Guo-qiang, WANG Hao, LI Li, WANG Cheng-tang, XIE Bi-ting, . Prediction of maximum settlement of foundation pit based on SFLA-GRNN model [J]. Rock and Soil Mechanics, 2019, 40(2): 792-798. |
[8] | WANG Qing-wu, JU Neng-pan, DU Ling-li, HUANG Jian, HU Yong,. Three dimensional inverse analysis of geostress field in the Sangri–Jiacha section of Lasa–Linzhi railway [J]. , 2018, 39(4): 1450-1462. |
[9] | ZHANG Yan-bo, YANG Zhen, YAO Xu-long, LIANG Peng, TIAN Bao-zhu, SUN Lin,. Experimental study of rockburst early warning method based on acoustic emission cluster analysis and neural network identification [J]. , 2017, 38(S2): 89-98. |
[10] | ZHANG She-rong, HU An-kui, WANG Chao, PENG Zhen-hui, . Three-dimensional intelligent inversion method for in-situ stress field based on SLR-ANN algorithm [J]. , 2017, 38(9): 2737-2745. |
[11] | YANG Xiao , YANG Zhi-qiang , GAO Qian , CHEN De-xin,. Cemented filling strength test and optimal proportion decision of mixed filling aggregate [J]. , 2016, 37(S2): 635-641. |
[12] | WANG Jia-xin, ZHOU Zong-hong, ZHAO Ting, YU Yang-xian, LONG Gang, LI Chun-yang. Application of Alpha stable distribution probabilistic neural network to classification of surrounding rock stability assessment [J]. , 2016, 37(S2): 649-657. |
[13] | HU Jun , DONG Jian-hua , WANG Kai-kai , HUANG Gui-chen,. Research on CPSO-BP model of slope stability [J]. , 2016, 37(S1): 577-582. |
[14] | WANG Kai-he, LUO Xian-qi, SHEN Hui, ZHANG Hai-tao. GSA-BP neural network model for back analysis of surrounding rock mechanical parameters and its application [J]. , 2016, 37(S1): 631-638. |
[15] | CHEN Jian, WANG Zhan-sheng, RONG Hu-reng,. ‘Two sides of one’ method for inversion of correlated parameters random fields [J]. , 2016, 37(6): 1773-1780. |
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