메뉴 건너뛰기




Volumn 41, Issue 3, 1996, Pages 399-417

Artificial neural networks as rainfall-runoff models;Modélisation pluie-débit par des réseaux neuroneaux artificiels

Author keywords

[No Author keywords available]

Indexed keywords

FLOW OF WATER; MATHEMATICAL MODELS; NEURAL NETWORKS; RESERVOIRS (WATER); RUNOFF; STANDARDIZATION; STORMS;

EID: 0030159380     PISSN: 02626667     EISSN: 21503435     Source Type: Journal    
DOI: 10.1080/02626669609491511     Document Type: Article
Times cited : (626)

References (21)
  • 1
    • 0022929207 scopus 로고
    • An introduction to the European Hydrological System—Système Hydrologique Européen, “SHE”, 1: History and philosophy of a physically-based, distributed modelling system
    • Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and Rasmussen, J., 1986. An introduction to the European Hydrological System—Système Hydrologique Européen, “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
  • 3
    • 84979183578 scopus 로고
    • A critique of current methods in hydrologic systems investigation
    • Amorocho, J., and Hart, W. E., 1964. A critique of current methods in hydrologic systems investigation. Trans. AGU, 45:307–321.
    • (1964) Trans. AGU , vol.45 , pp. 307-321
    • Amorocho, J.1    Hart, W.E.2
  • 4
    • 0014763337 scopus 로고
    • Derivation of formulae for variable lag time
    • Askew, A. J., 1970. Derivation of formulae for variable lag time. J. Hydrol, 10:225–242.
    • (1970) J. Hydrol , vol.10 , pp. 225-242
    • Askew, A.J.1
  • 5
    • 0028551979 scopus 로고
    • Use of computational adaptive methodologies in hydroinformatics
    • Verwey A., Minns A.W., Babović V., Maksimović C., (eds), Rotterdam, The Netherlands: Balkema
    • Babović, V., and Minns, A. W., 1994. “ Use of computational adaptive methodologies in hydroinformatics. ”. In Hydroinformatics '94 (Proc. 1st Internat. Conf. on Hydroinformatics, Delft, The Netherlands) Edited by:Verwey, A., Minns, A. W., Babović, V., and Maksimović, C., 201–210. Rotterdam, The Netherlands:Balkema.
    • (1994) Hydroinformatics '94 (Proc. 1st Internat. Conf. on Hydroinformatics, Delft, The Netherlands) , pp. 201-210
    • Babović, V.1    Minns, A.W.2
  • 7
    • 0017516522 scopus 로고
    • A procedure for the selection of objective functions for hydrologic simulation models
    • Diskin, M. H., and Simon, E., 1977. A procedure for the selection of objective functions for hydrologic simulation models. J. Hydrol, 34:129–149.
    • (1977) J. Hydrol , vol.34 , pp. 129-149
    • Diskin, M.H.1    Simon, E.2
  • 8
    • 0001795638 scopus 로고
    • Rainfall-runoff modelling as a problem in artificial intelligence: Experience with a neural network
    • British Hydrological Society, London, UK
    • Hall, M. J., and Minns, A. W., 1993. “ Rainfall-runoff modelling as a problem in artificial intelligence:experience with a neural network. ”. In Proc 4th Nat. Hydrol. Symp. (Cardiff, UK), 5. 51–5.57. British Hydrological Society, London, UK
    • (1993) Proc 4th Nat. Hydrol. Symp. (Cardiff, UK), 5. , pp. 51
    • Hall, M.J.1    Minns, A.W.2
  • 9
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik, K., Stinchcombe, M., and White, H., 1989. Multilayer feedforward networks are universal approximators. Neural Networks, 2:359–366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 11
    • 3342895152 scopus 로고
    • Application of runoff routing model to the Krian river basin
    • Kee An, Hong, Mohd, Nor Bin Hj, and Mohd, Desa. 1988. “ Application of runoff routing model to the Krian river basin. ”. In Bull Instn. Engrs. Malaysia 12–17.
    • (1988) Bull Instn. Engrs. Malaysia , pp. 12-17
    • Kee An, H.1    Mohd, N.B.H.2    Mohd, D.3
  • 12
    • 0001957261 scopus 로고
    • Neurons, dynamics and computation
    • Hopfield, J. J., 1994. Neurons, dynamics and computation. Physics Today, 47 (2):40–46.
    • (1994) Physics Today , vol.47 , Issue.2 , pp. 40-46
    • Hopfield, J.J.1
  • 13
    • 50549195284 scopus 로고
    • A catchment storage model for runoff routing
    • Laurenson, E. M., 1964. A catchment storage model for runoff routing. J. Hydrol, 2:141–163.
    • (1964) J. Hydrol , vol.2 , pp. 141-163
    • Laurenson, E.M.1
  • 16
    • 0040154397 scopus 로고
    • Analysis of experimental data using artificial neural networks
    • London, UK: Thomas Telford Services Ltd
    • Minns, A. W., 1995. “ Analysis of experimental data using artificial neural networks. ”. In Hydra 2000 (Proc. XXVI Congress IAHR) Vol. 1, 218–223. London, UK:Thomas Telford Services Ltd.
    • (1995) Hydra 2000 (Proc. XXVI Congress IAHR) , vol.1 , pp. 218-223
    • Minns, A.W.1
  • 17
    • 0003856402 scopus 로고
    • London, UK: Natural Environment Research Council
    • Natural Environment Research Council. 1975. Flood Studies Report, Vol II, Meteorological studies London, UK:Natural Environment Research Council.
    • (1975) Flood Studies Report, Vol II, Meteorological studies
  • 20
    • 84978554279 scopus 로고
    • Application of RORB model to a catchment in Singapore
    • Selvalingham, S., Liong, S. Y., and Manoharan, P. C., 1987. Application of RORB model to a catchment in Singapore. Wat. Resour. Bull, 23 (1):81–90.
    • (1987) Wat. Resour. Bull , vol.23 , Issue.1 , pp. 81-90
    • Selvalingham, S.1    Liong, S.Y.2    Manoharan, P.C.3
  • 21
    • 0016627740 scopus 로고
    • QUURM—a realistic urban runoff model
    • Watt, W. E., and Kidd, C. H. R., 1975. QUURM—a realistic urban runoff model. J. Hydrol, 27:225–235.
    • (1975) J. Hydrol , vol.27 , pp. 225-235
    • Watt, W.E.1    Kidd, C.H.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.