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Volumn 5, Issue , 2005, Pages 2680-2685

Streamflow forecasting with uncertainty estimate using Bayesian learning for ANN

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; UNCERTAIN SYSTEMS;

EID: 33750126246     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556347     Document Type: Conference Paper
Times cited : (5)

References (8)
  • 1
    • 0034621379 scopus 로고    scopus 로고
    • Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
    • P. Coulibaly, F. Anctil, and B. Bobée, "Daily reservoir inflow forecasting using artificial neural networks with stopped training approach," Journal of Hydrology, vol. 230, pp. 244-257, 2000.
    • (2000) Journal of Hydrology , vol.230 , pp. 244-257
    • Coulibaly, P.1    Anctil, F.2    Bobée, B.3
  • 2
    • 0032829433 scopus 로고    scopus 로고
    • Hydrological forecasting using artificial neural networks: The state of the art
    • P. Coulibaly, F. Anctil, and B. Bobée, "Hydrological forecasting using artificial neural networks: The state of the art (in French)," Canadian Journal of Civil Engineering, vol. 26, pp. 293-304, 1999.
    • (1999) Canadian Journal of Civil Engineering , vol.26 , pp. 293-304
    • Coulibaly, P.1    Anctil, F.2    Bobée, B.3
  • 4
    • 0035312886 scopus 로고    scopus 로고
    • Bayesian approach for neural networks - Review and case studies
    • J. Lampinen, and A. Vehtari, "Bayesian approach for neural networks - review and case studies," Neural Networks, vol. 14, pp. 257-274, 2001.
    • (2001) Neural Networks , vol.14 , pp. 257-274
    • Lampinen, J.1    Vehtari, A.2
  • 7
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • M. Møoller, "A scaled conjugate gradient algorithm for fast supervised learning," Neural Networks, vol. 6, pp. 525-533, 1993.
    • (1993) Neural Networks , vol.6 , pp. 525-533
    • Møoller, M.1
  • 8
    • 0035876630 scopus 로고    scopus 로고
    • Improving extreme hydrologic events forecasting using a new criterion for artificial neural network selection
    • P. Coulibaly, P., B. Bobée, and F. Anctil, Improving extreme hydrologic events forecasting using a new criterion for artificial neural network selection, Hydrological. Processes, vol. 15, pp. 1533-1536, 2001.
    • (2001) Hydrological. Processes , vol.15 , pp. 1533-1536
    • Coulibaly, P.1    Bobée, B.2    Anctil, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.