메뉴 건너뛰기




Volumn 29, Issue 1, 2007, Pages 132-136

Nonlinear combination predicting based on support vector machines for landslide deformation

Author keywords

Elman recurrent network; Landslide; Nonlinear combination; Support vector machine

Indexed keywords

DEFORMATION; FORECASTING; LANDSLIDES; RADIAL BASIS FUNCTION NETWORKS;

EID: 34147212950     PISSN: 10018360     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (10)

References (14)
  • 2
    • 0023965163 scopus 로고
    • Combining forecasts european
    • Bunn D W. Combining Forecasts European [J]. Journal of Operation Research, 1988, 33 (3): 223-29.
    • (1988) Journal of Operation Research , vol.33 , Issue.3 , pp. 29-223
    • Bunn, D.W.1
  • 5
    • 34147214628 scopus 로고    scopus 로고
    • Chinese source
  • 6
    • 34147195535 scopus 로고
    • Advance study of combination forecasting with optimal weight coefficient vector
    • TANG Xiao-wo, CAO Chang-xiu, JIN De-yun. Advance Study of Combination Forecasting with Optimal Weight Coefficient Vector [J]. Forecasting, 1994, 13 (2): 48-49.
    • (1994) Forecasting , vol.13 , Issue.2 , pp. 48-49
    • Tang, X.-W.1    Cao, C.-X.2    Jin, D.-Y.3
  • 7
    • 1542427746 scopus 로고    scopus 로고
    • Research on nonlinear time sequence intelligent model construction and prediction of slope displacement by using support vector machine algorithm
    • LIU Kai-yun, QIAO Chun-sheng, TENG Wen-yan. Research on Nonlinear Time Sequence Intelligent Model Construction and Prediction of Slope Displacement by Using Support Vector Machine Algorithm [J]. Chinese Journal of Geotechnical Engineering, 2004, 26 (1): 57-61.
    • (2004) Chinese Journal of Geotechnical Engineering , vol.26 , Issue.1 , pp. 57-61
    • Liu, K.-Y.1    Qiao, C.-S.2    Teng, W.-Y.3
  • 9
    • 0003401675 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • London: Royal Hollo way College, University of London
    • J Smola A, Scholkopf B. A Tutorial on Support Vector Regression [R]. London: Royal Hollo way College, University of London, 1998.
    • (1998)
    • Smola, A.J.1    Scholkopf, B.2
  • 11
    • 0037484691 scopus 로고    scopus 로고
    • Comparison of model selection for regression
    • Cherkassky V, Y Ma. Comparison of Model Selection for Regression [J]. Neural Computation, 2003, 15 (7), 1691-1714.
    • (2003) Neural Computation , vol.15 , Issue.7 , pp. 1691-1714
    • Cherkassky, V.1    Ma, Y.2
  • 12
    • 0037721392 scopus 로고    scopus 로고
    • Asymptotically optimal choice of ε-loss for support vector machines
    • Berlin: Proceedings of ICANN
    • Smola A, Mtirata, N, Scholkopf B, et al. Asymptotically Optimal Choice of ε-loss for Support Vector machines [R]. Berlin: Proceedings of ICANN, 1998.
    • (1998)
    • Smola, A.1    Mtirata, N.2    Scholkopf, B.3
  • 13
    • 0003425664 scopus 로고    scopus 로고
    • Support vector machines for classification and regression
    • Southampton: Department of Electronics and Computer Science, University of Southampton
    • Gunn S. Support Vector Machines for Classification and Regression [R]. Southampton: Department of Electronics and Computer Science, University of Southampton, 1998.
    • (1998)
    • Gunn, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.