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Volumn 39, Issue 5, 2003, Pages

A comparison of nonlinear flood forecasting methods

Author keywords

Artificial neural networks; Flood forecasting; Nonlinear prediction; Overfitting

Indexed keywords

FLOODS; FORECASTING; LINEAR EQUATIONS; MATHEMATICAL MODELS;

EID: 1542646171     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2002WR001551     Document Type: Article
Times cited : (56)

References (12)
  • 1
    • 0034174280 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology, I: Preliminary concepts
    • ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, Artificial neural networks in hydrology, I: Preliminary concepts, J. Hydrol. Eng., 5(2), 115-123, 2000a.
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 115-123
  • 2
    • 0034174396 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology. II: Hydrologic applications
    • ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, Artificial neural networks in hydrology. II: Hydrologic applications, J. Hydrol. Eng., 5(2), 124-137, 2000b.
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 124-137
  • 3
    • 0000202504 scopus 로고
    • Chaos and deterministic versus stochastic nonlinear modeling
    • Casdagli, M., Chaos and deterministic versus stochastic nonlinear modeling, J. R. Stat. Soc., Ser. B, 54, 303-324, 1991.
    • (1991) J. R. Stat. Soc., Ser. B , vol.54 , pp. 303-324
    • Casdagli, M.1
  • 4
    • 0034621379 scopus 로고    scopus 로고
    • Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
    • Coulibaly, P., F. Anctil, and B. Bobée, Daily reservoir inflow forecasting using artificial neural networks with stopped training approach, J. Hydrol., 230(3-4), 244-257, 2000.
    • (2000) J. Hydrol. , vol.230 , Issue.3-4 , pp. 244-257
    • Coulibaly, P.1    Anctil, F.2    Bobée, B.3
  • 5
    • 34249982739 scopus 로고
    • Predicting chaotic time series
    • Farmer, J. D., and J. J. Sidorowich, Predicting chaotic time series, Phys. Rev. Lett., 59(4), 845-848, 1987.
    • (1987) Phys. Rev. Lett. , vol.59 , Issue.4 , pp. 845-848
    • Farmer, J.D.1    Sidorowich, J.J.2
  • 6
    • 0034642947 scopus 로고    scopus 로고
    • Noise reduction and prediction of hydro meteorological time series: Dynamical system approach vs. stochastic approach
    • Jayawardena, A. W., and A. B. Gurung, Noise reduction and prediction of hydro meteorological time series: dynamical system approach vs. stochastic approach, J. Hydrol., 228, 242-264, 2000.
    • (2000) J. Hydrol. , vol.228 , pp. 242-264
    • Jayawardena, A.W.1    Gurung, A.B.2
  • 7
    • 0028199319 scopus 로고
    • Analysis and prediction of chaos in rainfall and stream flow time series
    • Jayawardena, A. W., and F. Lai, Analysis and prediction of chaos in rainfall and stream flow time series, J. Hydrol., 153, 23-52, 1994.
    • (1994) J. Hydrol. , vol.153 , pp. 23-52
    • Jayawardena, A.W.1    Lai, F.2
  • 9
    • 0030619033 scopus 로고    scopus 로고
    • Nonlinear analysis of river flow time sequences
    • Porporato, A., and L. Ridolfi, Nonlinear analysis of river flow time sequences, Water Resour. Res., 33(6), 1353-1367, 1997.
    • (1997) Water Resour. Res. , vol.33 , Issue.6 , pp. 1353-1367
    • Porporato, A.1    Ridolfi, L.2
  • 10
    • 0035879624 scopus 로고    scopus 로고
    • Multivariate nonlinear prediction of river flow
    • Porporato, A., and L. Ridolfi, Multivariate nonlinear prediction of river flow, J. Hydrol., 248(1-4), 109-122, 2001.
    • (2001) J. Hydrol. , vol.248 , Issue.1-4 , pp. 109-122
    • Porporato, A.1    Ridolfi, L.2
  • 12
    • 0000779360 scopus 로고
    • Detecting strange attractors in turbulence
    • Takens, F., Detecting strange attractors in turbulence, Lect. Notes Math., 898, 366-381, 1981.
    • (1981) Lect. Notes Math. , vol.898 , pp. 366-381
    • Takens, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.