Research on deformation prediction of tunnel surrounding rock using the model combining firefly algorithm and nonlinear auto-regressive dynamic neural network-Reference-Cited by-同舟云学术

Research on deformation prediction of tunnel surrounding rock using the model combining firefly algorithm and nonlinear auto-regressive dynamic neural network

Published:2019-12-16 Issue:2 Volume:37 Page:1443-1453
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Pan Yue,Chen Liang,Wang Ju,Ma Hongsu,Cai Shuling,Pu Shiku,Duan Jianli,Gao Lei,Li Erbing

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modelling and Simulation,Software

Link

http://link.springer.com/content/pdf/10.1007/s00366-019-00894-y.pdf

Reference36 articles.

1. Wu KJ (2016) Under the condition of high ground stress soft rock tunnel deformation analysis and control research. Dissertation, South China University of Technology

2. Shen CR, Jiang BS, Wu XS et al (2010) Application of tunnel monitoring measurement information feedback in surrounding rock dynamic classification. In: The 2nd international conference on information science and engineering. https://doi.org/10.1109/ICISE.2010.5690819

3. Xiong XB (2014) Research on grey system model and its application on displacement prediction in tunnel surrounding rock. Open Mech Eng J 8:514–518. https://doi.org/10.2174/1874155X01408010514

4. Ding WT, Li SC, Wang SG (2006) Prediction of grey system model on convergence of surrounding rock deformation of Longtan tunnel. Rock Soil Mech 27(supp):118–121

5. Sun ZJ (2012) Stress predicting on the surrounding rocks of tunnel based on BP neural network. Appl Mech Mater 170–173:1638–1642. https://doi.org/10.4028/www.scientific.net/AMM.170-173.1638

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