메뉴 건너뛰기




Volumn 199, Issue 3-4, 1997, Pages 272-294

Application of a neural network technique to rainfall-runoff modelling

Author keywords

Linear perturbation model (LPM); Neural network technique; Rainfall runoff modelling; Simple linear model (SLM)

Indexed keywords

CLIMATE CHANGE; COMPUTER SIMULATION; MATHEMATICAL MODELS; NEURAL NETWORKS; PERTURBATION TECHNIQUES; RAIN; RUNOFF;

EID: 0342506462     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0022-1694(96)03330-6     Document Type: Article
Times cited : (421)

References (25)
  • 2
    • 0008556093 scopus 로고
    • Neural networks for daily mean flow forecasting
    • Blain, W.R., Katsifarakis, K.L. (Eds.), Computational Mechanics Publications, Southampton, UK
    • Bonafe, A., Galeati, G., Sforna, M., 1994. Neural networks for daily mean flow forecasting. In: Blain, W.R., Katsifarakis, K.L. (Eds.), Hydraulic Engineering Software V Vol. 1, Water Resources and Distribution. Computational Mechanics Publications, Southampton, UK, pp. 131-138.
    • (1994) Hydraulic Engineering Software V Vol. 1, Water Resources and Distribution , vol.1 , pp. 131-138
    • Bonafe, A.1    Galeati, G.2    Sforna, M.3
  • 4
    • 0027007868 scopus 로고
    • Rainfall forecasting in space and time using a neural network
    • French, M.N., Krajewski, W.F., Cuykendall, R.R., 1992. Rainfall forecasting in space and time using a neural network. J. Hydrol. 137, 1-31.
    • (1992) J. Hydrol. , vol.137 , pp. 1-31
    • French, M.N.1    Krajewski, W.F.2    Cuykendall, R.R.3
  • 5
    • 0027627965 scopus 로고
    • Working with neural networks
    • Hammerstrom, D., 1993. Working with neural networks. IEEE Spectrum 46-53.
    • (1993) IEEE Spectrum , pp. 46-53
    • Hammerstrom, D.1
  • 6
    • 0003612692 scopus 로고
    • Back-propagation learning through time for multi-layer feed-forward neural networks using the conjugate gradient method
    • Lawrence Livermore National Laboratory, Livermore, CA
    • Johansson, T.M., Dowla, F.U., Goodman, D.M., 1990. Back-propagation learning through time for multi-layer feed-forward neural networks using the conjugate gradient method. Report UCRL-JC-104850, Lawrence Livermore National Laboratory, Livermore, CA.
    • (1990) Report UCRL-JC-104850
    • Johansson, T.M.1    Dowla, F.U.2    Goodman, D.M.3
  • 7
    • 0343968107 scopus 로고
    • Nanjing, China. Unpublished internal report, Dept. Eng. Hydrol., University College Galway, Ireland
    • Kachroo, R.K., 1986. HOMS workshop on river flow forecasting, Nanjing, China. Unpublished internal report, Dept. Eng. Hydrol., University College Galway, Ireland.
    • (1986) HOMS Workshop on River Flow Forecasting
    • Kachroo, R.K.1
  • 8
    • 0026613406 scopus 로고
    • River flow forecasting. Part 2. Algebraic development of linear modelling techniques
    • Kachroo, R.K., Liang, G.C., 1992. River flow forecasting. Part 2. Algebraic development of linear modelling techniques. J. Hydrol. 133, 17-40.
    • (1992) J. Hydrol. , vol.133 , pp. 17-40
    • Kachroo, R.K.1    Liang, G.C.2
  • 9
    • 0026613411 scopus 로고
    • River flow forecasting. Part 3. Applications of linear techniques in modelling rainfall-runoff transformations
    • Kachroo, R.K., Sea, C.H., Warsi, M.S., Jemenez, H., Saxena, R.P., 1992. River flow forecasting. Part 3. Applications of linear techniques in modelling rainfall-runoff transformations. J. Hydrol. 133, 41-97.
    • (1992) J. Hydrol. , vol.133 , pp. 41-97
    • Kachroo, R.K.1    Sea, C.H.2    Warsi, M.S.3    Jemenez, H.4    Saxena, R.P.5
  • 12
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • Lippmann, R.P., 1987. An introduction to computing with neural nets. IEEE ASSP Mag. 4, 4-22.
    • (1987) IEEE ASSP Mag. , vol.4 , pp. 4-22
    • Lippmann, R.P.1
  • 13
    • 0343197617 scopus 로고
    • Neural network structures: From follows functions
    • Maren, A.J., Harston, C.T., Pap, R.M. (Eds.). Academic Press, Inc.
    • Maren, A.J., 1990. Neural network structures: from follows functions. In: Maren, A.J., Harston, C.T., Pap, R.M. (Eds.), Handbook of Neural Computing and Applications. Academic Press, Inc., p. 51.
    • (1990) Handbook of Neural Computing and Applications , pp. 51
    • Maren, A.J.1
  • 16
    • 0000175259 scopus 로고
    • The form of the instantaneous unit hydrograph
    • Nash, J.E., 1957. The form of the instantaneous unit hydrograph. Int. Assoc. Sci. Hydrol. Publ. 45 (3), 114-118.
    • (1957) Int. Assoc. Sci. Hydrol. Publ. , vol.45 , Issue.3 , pp. 114-118
    • Nash, J.E.1
  • 17
    • 0020873423 scopus 로고
    • A hybrid model for flow forecasting on large catchments
    • Nash, J.E., Barsi, B.I., 1983. A hybrid model for flow forecasting on large catchments. J. Hydrol. 65, 125-137.
    • (1983) J. Hydrol. , vol.65 , pp. 125-137
    • Nash, J.E.1    Barsi, B.I.2
  • 19
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models. Part 1. A discussion of principles
    • Nash, J.E., Sutcliffe, J.V., 1970. River flow forecasting through conceptual models. Part 1. 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
    • 0000238336 scopus 로고
    • A simplex method for function optimization
    • Nelder, J.A., Mead, R., 1965. A simplex method for function optimization. Comput. J. 7, 308.
    • (1965) Comput. J. , vol.7 , pp. 308
    • Nelder, J.A.1    Mead, R.2
  • 21
    • 0004199141 scopus 로고
    • Addison-Wesley Publishing Company, USA
    • Nielsen, R.H., 1991. Neurocomputing. Addison-Wesley Publishing Company, USA.
    • (1991) Neurocomputing
    • Nielsen, R.H.1
  • 23
    • 0030131272 scopus 로고    scopus 로고
    • A nearest neighbours linear perturbation model for river flow forecasting
    • Shamseldin, A.Y., O'Connor, K.M., 1996. A nearest neighbours linear perturbation model for river flow forecasting. J. Hydrol. 179, 353-375.
    • (1996) J. Hydrol. , vol.179 , pp. 353-375
    • Shamseldin, A.Y.1    O'Connor, K.M.2
  • 25
    • 0025503558 scopus 로고
    • Backpropogation through time: What it does and how to do it
    • Werbos, P.J., 1990. Backpropogation through time: what it does and how to do it. Proc. IEEE 78 (10), 1550-1560.
    • (1990) Proc. IEEE , vol.78 , Issue.10 , pp. 1550-1560
    • Werbos, P.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.