메뉴 건너뛰기




Volumn 40, Issue 4, 2006, Pages 369-378

A Takagi-Sugeno fuzzy system for the prediction of river stage dynamics

Author keywords

Linear regression; Multi step ahead; Time series

Indexed keywords


EID: 33750682739     PISSN: 00213551     EISSN: 00213551     Source Type: Journal    
DOI: 10.6090/jarq.40.369     Document Type: Article
Times cited : (7)

References (13)
  • 1
    • 0034210373 scopus 로고    scopus 로고
    • Application of adaptive fuzzy rule-based models for reconstruction of missing precipitation events
    • Abebe, A. J., Solomatine, D. P. & Venneker, R. G. W. (2000) Application of adaptive fuzzy rule-based models for reconstruction of missing precipitation events. Hydrol. Sci. J., 45, 425-436.
    • (2000) Hydrol. Sci. J. , vol.45 , pp. 425-436
    • Abebe, A.J.1    Solomatine, D.P.2    Venneker, R.G.W.3
  • 3
    • 0035340711 scopus 로고    scopus 로고
    • A counterpropagation fuzzy-neural network modeling approach to real time streamflow prediction
    • Chang, F. -J. & Chen, Y. C. (2001) A counterpropagation fuzzy-neural network modeling approach to real time streamflow prediction. J. Hydrol., 245, 153-164.
    • (2001) J. Hydrol. , vol.245 , pp. 153-164
    • Chang, F.-J.1    Chen, Y.C.2
  • 4
    • 0345712372 scopus 로고    scopus 로고
    • Fuzzy rule-based approach to describe solute transport in the unsaturated zone
    • Dou, C., Woldt, W. & Bogardi, I. (1999) Fuzzy rule-based approach to describe solute transport in the unsaturated zone. J. Hydrol., 220, 74-85.
    • (1999) J. Hydrol. , vol.220 , pp. 74-85
    • Dou, C.1    Woldt, W.2    Bogardi, I.3
  • 5
    • 0035306877 scopus 로고    scopus 로고
    • A rule based fuzzy model for the prediction of petrophysical rock parameters
    • Finol, J., Guo, Y. K. & Jing, X. D. (2001) A rule based fuzzy model for the prediction of petrophysical rock parameters. J. Pet. Sci. Eng., 29, 97-113.
    • (2001) J. Pet. Sci. Eng. , vol.29 , pp. 97-113
    • Finol, J.1    Guo, Y.K.2    Jing, X.D.3
  • 6
    • 0035472003 scopus 로고    scopus 로고
    • River flow time series prediction with a range-dependent neural network
    • Hu, T. S., Lam, K. C. & Ng, S. T. (2001) River flow time series prediction with a range-dependent neural network. Hydrol. Sci. J., 46, 729-745.
    • (2001) Hydrol. Sci. J. , vol.46 , pp. 729-745
    • Hu, T.S.1    Lam, K.C.2    Ng, S.T.3
  • 7
    • 19044383810 scopus 로고    scopus 로고
    • Short-term flood forecasting with a neurofuzzy model
    • Nayak, P. C. et al. (2005) Short-term flood forecasting with a neurofuzzy model. Water Resour. Res., 41, W04004(1-16).
    • (2005) Water Resour. Res. , vol.41 , Issue.W04004 , pp. 1-16
    • Nayak, P.C.1
  • 8
    • 0031581547 scopus 로고    scopus 로고
    • Water flow modeling in the unsaturated zone with imprecise parameters using a fuzzy approach
    • Schulz, K. & Huwe, B. (1997) Water flow modeling in the unsaturated zone with imprecise parameters using a fuzzy approach. J. Hydrol., 201, 211-229.
    • (1997) J. Hydrol. , vol.201 , pp. 211-229
    • Schulz, K.1    Huwe, B.2
  • 10
    • 0037197571 scopus 로고    scopus 로고
    • A data-driven algorithm for constructing artificial neural network rainfall-runoff models
    • Sudheer, K. P., Gosain, A. K. & Ramasastri, K. S. (2002) A data-driven algorithm for constructing artificial neural network rainfall-runoff models. Hydrol. Process., 16, 1325-1330.
    • (2002) Hydrol. Process. , vol.16 , pp. 1325-1330
    • Sudheer, K.P.1    Gosain, A.K.2    Ramasastri, K.S.3
  • 11
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi, T. & Sugeno, M. (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cyber., 15, 116-132.
    • (1985) IEEE Trans. Syst. Man Cyber. , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 12
    • 11144347859 scopus 로고    scopus 로고
    • Comparison of data-driven Takagi-Sugeno models of rainfall-discharge dynamics
    • Vernieuwe, H. et al. (2005) Comparison of data-driven Takagi-Sugeno models of rainfall-discharge dynamics. J. Hydrol., 302, 173-186.
    • (2005) J. Hydrol. , vol.302 , pp. 173-186
    • Vernieuwe, H.1
  • 13
    • 0035340544 scopus 로고    scopus 로고
    • A nonlinear combination of the forecasts of rainfall-run-off models by the first order Takagi-Sugeno fuzzy system
    • Xiong, L., Shamseldin, A. Y. & O'Connor, K. M. (2001) A nonlinear combination of the forecasts of rainfall-run-off models by the first order Takagi-Sugeno fuzzy system. J. Hydrol., 245, 196-217.
    • (2001) J. Hydrol. , vol.245 , pp. 196-217
    • Xiong, L.1    Shamseldin, A.Y.2    O'Connor, K.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.