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Volumn 21, Issue 11, 2007, Pages 1915-1940

Hydrologic data exploration and river flow forecasting of a humid tropical river basin using artificial neural networks

Author keywords

Artificial neural networks; Humid tropical region; Hydrologic data exploration; Multi layer perceptron; River flow forecasting; Self organizing maps

Indexed keywords

DISCHARGE (FLUID MECHANICS); FLOW OF WATER; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; RAIN; SELF ORGANIZING MAPS;

EID: 35448991280     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-006-9137-9     Document Type: Article
Times cited : (24)

References (25)
  • 1
    • 0022929207 scopus 로고
    • An introduction to the European hydrological system - Systeme Hydrologique Europeen, "SHE."1: History and philosophy of a physically based distributed modelling system
    • Abbott MB, Bathurst JC, Cunge JA, O'Connell PE, Rasmussen J (1986) An introduction to the European hydrological system - Systeme Hydrologique Europeen, "SHE."1: History and philosophy of a physically based distributed modelling system. J Hydrol 87:45-59
    • (1986) J Hydrol , vol.87 , pp. 45-59
    • Abbott, M.B.1    Bathurst, J.C.2    Cunge, J.A.3    O'Connell, P.E.4    Rasmussen, J.5
  • 2
    • 0001160588 scopus 로고
    • What size net gives valid generalization?
    • Baum EB, Haussler D (1989) What size net gives valid generalization? Neural Comput 1:151-160
    • (1989) Neural Comput , vol.1 , pp. 151-160
    • Baum, E.B.1    Haussler, D.2
  • 6
    • 26544450060 scopus 로고    scopus 로고
    • Seabed recognition using neural networks
    • M.Sc. Thesis H.H.349, IHE, Delft, Netherlands
    • Gopakumar R (1999) Seabed recognition using neural networks. M.Sc. Thesis H.H.349, IHE, Delft, Netherlands
    • (1999)
    • Gopakumar, R.1
  • 9
    • 0034641121 scopus 로고    scopus 로고
    • River flow prediction using artificial neural networks: Generalization beyond the calibration range
    • Imrie CE, Durucan S, Korre A (2000) River flow prediction using artificial neural networks: Generalization beyond the calibration range. J Hydrol 233:138-153
    • (2000) J Hydrol , vol.233 , pp. 138-153
    • Imrie, C.E.1    Durucan, S.2    Korre, A.3
  • 10
    • 0026613408 scopus 로고
    • River flow forecasting. Part 1. A discussion of the principles
    • Kachroo RK (1992) River flow forecasting. Part 1. A discussion of the principles. J Hydrol 133:1-15
    • (1992) J Hydrol , vol.133 , pp. 1-15
    • Kachroo, R.K.1
  • 11
    • 0000549293 scopus 로고    scopus 로고
    • Self-organizing maps
    • 2nd edn. Springer, Berlin Heidelberg New York
    • Kohonen T (1997) Self-organizing maps. Series in information sciences, vol 30, 2nd edn. Springer, Berlin Heidelberg New York
    • (1997) Series in Information Sciences , vol.30
    • Kohonen, T.1
  • 12
    • 0345404396 scopus 로고    scopus 로고
    • Self organizing map
    • Kohonen T (1998) Self organizing map. Neurocomputing 21(1):1-6
    • (1998) Neurocomputing , vol.21 , Issue.1 , pp. 1-6
    • Kohonen, T.1
  • 13
    • 85034860364 scopus 로고    scopus 로고
    • Improved nonlinear transfer function and neural network methods of flow routing for real-time forecasting
    • Lekkas DF, Imrie CE, Lees MJ (2001) Improved nonlinear transfer function and neural network methods of flow routing for real-time forecasting. J Hydroinform 03.3:153-164
    • (2001) J Hydroinform , vol.3 , Issue.3 , pp. 153-164
    • Lekkas, D.F.1    Imrie, C.E.2    Lees, M.J.3
  • 14
    • 0030159380 scopus 로고    scopus 로고
    • Artificial neural networks as rainfall-runoff models
    • Minns AW, Hall MJ (1996) Artificial neural networks as rainfall-runoff models. J Hydrol Sci 41(3):399-417
    • (1996) J Hydrol Sci , vol.41 , Issue.3 , pp. 399-417
    • Minns, A.W.1    Hall, M.J.2
  • 15
    • 0031171262 scopus 로고    scopus 로고
    • Prediction of two-year peak stream discharges using neural networks
    • Muttiah RS, Srinivasan R, Allen PM (1997) Prediction of two-year peak stream discharges using neural networks. J Am Water Resour Assoc 33(3):625-630
    • (1997) J Am Water Resour Assoc , vol.33 , Issue.3 , pp. 625-630
    • Muttiah, R.S.1    Srinivasan, R.2    Allen, P.M.3
  • 16
    • 0025399567 scopus 로고
    • Identification and control of dynamical systems using neural networks
    • Narendra KS, Parthasarathy K (1990) Identification and control of dynamical systems using neural networks. IEEE Trans Neural Netw 1:4-27
    • (1990) IEEE Trans Neural Netw , vol.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 17
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models: Part I - A discussion of principles
    • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models: Part I - A discussion of principles. J Hydrol 10:282-290
    • (1970) J Hydrol , vol.10 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2
  • 20
    • 0033535432 scopus 로고    scopus 로고
    • A non-linear rainfall-runoff model using an artificial neural network
    • Sajikumar N, Thandaveswara BS (2000) A non-linear rainfall-runoff model using an artificial neural network. J Hydrol 216:32-55
    • (2000) J Hydrol , vol.216 , pp. 32-55
    • Sajikumar, N.1    Thandaveswara, B.S.2
  • 21
    • 0029416249 scopus 로고
    • Neural Network models of rainfall-runoff process
    • Smith J, Eli RN (1995) Neural Network models of rainfall-runoff process. J Water Resour Plan Manage 121:499-508
    • (1995) J Water Resour Plan Manage , vol.121 , pp. 499-508
    • Smith, J.1    Eli, R.N.2
  • 22
    • 0038105929 scopus 로고    scopus 로고
    • Radial basis function neural network for modeling rating Curves
    • Sudheer KP, Jain SK (2003) Radial basis function neural network for modeling rating Curves. J Hydrol Eng 8(3):161-164
    • (2003) J Hydrol Eng , vol.8 , Issue.3 , pp. 161-164
    • Sudheer, K.P.1    Jain, S.K.2
  • 23
    • 0031898654 scopus 로고    scopus 로고
    • River stage forecasting using artificial neural networks
    • Thirumalaiah K, Deo MC (1998) River stage forecasting using artificial neural networks. J Hydrol Eng 3(1):26-32
    • (1998) J Hydrol Eng , vol.3 , Issue.1 , pp. 26-32
    • Thirumalaiah, K.1    Deo, M.C.2
  • 24
    • 0023541038 scopus 로고
    • Adaline and madaline: Plenary speech
    • In: San Diego. The IEEE Inc, Piscataway, NJ
    • Widrow B (1987) Adaline and madaline: Plenary speech. In: Proc. 1st IEEE International Conf. Neural Networks, San Diego. The IEEE Inc, Piscataway, NJ
    • (1987) Proc. 1st IEEE International Conf. Neural Networks
    • Widrow, B.1
  • 25
    • 0004017693 scopus 로고
    • Intercomparison of conceptual models used in operational hydrological forecasting
    • World Meteorological Organization WMO Technical report No 429, Geneva, Switzerland
    • World Meteorological Organization (1975) Intercomparison of conceptual models used in operational hydrological forecasting. WMO Technical report No 429, Geneva, Switzerland
    • (1975)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.