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Volumn 27, Issue 6, 2006, Pages 1000-1004

Forecasting model of safe thickness for roof of karst cave tunnel based on support vector machines

Author keywords

FEM; Forecasting model; Karst tunnel; Safe thickness; Support vector machines (SVM)

Indexed keywords

COMPUTER SIMULATION; FINITE ELEMENT METHOD; FORECASTING; LEARNING ALGORITHMS; MATHEMATICAL MODELS; MINE ROOF SUPPORTS; REGRESSION ANALYSIS; SAFE HANDLING; THICKNESS CONTROL; TUNNELS;

EID: 33746544983     PISSN: 10007598     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (23)

References (13)
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    • Numerical analysis of influence of karst caves in top of tunnel on stability of surrounding rock masses
    • ZHAO Ming-jie, LIU Xu-hua. Numerical analysis of influence of karst caves in top of tunnel on stability of surrounding rock masses[J]. Rock and Soil Mechanics, 2003, 24(3): 445-449.
    • (2003) Rock and Soil Mechanics , vol.24 , Issue.3 , pp. 445-449
    • Zhao, M.-J.1    Liu, X.-H.2
  • 2
    • 33746543418 scopus 로고    scopus 로고
    • Control effect of rock mass structure on stability of top slab for large underground cavern
    • WANG Ming-hua, YANG Liang-ce. Control effect of rock mass structure on stability of top slab for large underground cavern[J]. Rock and Soil Mechanics, 2003, 24(3): 484-487.
    • (2003) Rock and Soil Mechanics , vol.24 , Issue.3 , pp. 484-487
    • Wang, M.-H.1    Yang, L.-C.2
  • 3
    • 33746478364 scopus 로고    scopus 로고
    • Chinese source
  • 6
    • 0036825788 scopus 로고    scopus 로고
    • Improved sparse least-squares support vector machines
    • Gavin C Cawley, Nicola L C Talbot. Improved sparse least-squares support vector machines[J]. Neurocomputing, 2002, (48): 1025-1031.
    • (2002) Neurocomputing , Issue.48 , pp. 1025-1031
    • Cawley, G.C.1    Talbot, N.L.C.2
  • 7
    • 10344239884 scopus 로고    scopus 로고
    • Method of predicting tunnel deformation based on support vector machines
    • TIAN Zhi-xiang, QIAO Chun-sheng. Method of predicting tunnel deformation based on support vector machines[J]. China Railway Science, 2004, 25(1): 86-90.
    • (2004) China Railway Science , vol.25 , Issue.1 , pp. 86-90
    • Tian, Z.-X.1    Qiao, C.-S.2
  • 8
    • 33746544579 scopus 로고    scopus 로고
    • Chinese source
  • 9
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    • Chinese source
  • 10
    • 24344451428 scopus 로고    scopus 로고
    • Forecasting model of safe cover thickness of tunnel crossing Songhua River in Harbin
    • WANG Li-xia. Forecasting model of safe cover thickness of tunnel crossing Songhua River in Harbin[J]. Chinese Journal of Rock Mechanics and Engineering, 2003, 22(5): 849-854.
    • (2003) Chinese Journal of Rock Mechanics and Engineering , vol.22 , Issue.5 , pp. 849-854
    • Wang, L.-X.1
  • 11
    • 24344479783 scopus 로고    scopus 로고
    • A study on the safety thickness of roof of shallow underground excavation
    • HUANG Run-qiu, CHEN Shang-qiao. A study on the safety thickness of roof of shallow underground excavation[J]. Journal of Engineering Geology, 1998, 6(2): 120-127.
    • (1998) Journal of Engineering Geology , vol.6 , Issue.2 , pp. 120-127
    • Huang, R.-Q.1    Chen, S.-Q.2
  • 12
    • 33746503927 scopus 로고    scopus 로고
    • Research on determination method of safety thickness of top slab of rock bedding of subgrade in karst and mined-out region
    • LIAO Chun-fang, PENG Heng-he. Research on determination method of safety thickness of top slab of rock bedding of subgrade in karst and mined-out region[J]. Highway, 2003, 1(1): 2-4.
    • (2003) Highway , vol.1 , Issue.1 , pp. 2-4
    • Liao, C.-F.1    Peng, H.-H.2
  • 13
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    • Support vector machines for classification and regression
    • Technical Report, University of Southampton
    • Steve R. Gunn. Support Vector Machines for Classification and Regression[R]. Technical Report, University of Southampton, 1998.
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    • Gunn, S.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.