메뉴 건너뛰기




Volumn 87, Issue MAY, 2006, Pages 9-14

Comparative study on multisite streamflow generation model HEC-4 and ANN model

Author keywords

Artificial neural network; Backpropagation; HEC 4 model; Hurst ratio; Synthetic streamflows

Indexed keywords

HURST RATIO; STATISTICAL PARAMETERS; SYNTHETIC STREAMFLOWS;

EID: 42149135433     PISSN: 03731995     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (43)
  • 1
    • 0026788658 scopus 로고
    • Reservoir Systems Analysis: Closing Gap Between Theory and Practice
    • S Simonovic. 'Reservoir Systems Analysis: Closing Gap Between Theory and Practice'. Journal of Water Resources Planning and Management, ASCB, vol 118, no 3, 1992, pp 262-280.
    • (1992) Journal of Water Resources Planning and Management, ASCB , vol.118 , Issue.3 , pp. 262-280
    • Simonovic, S.1
  • 2
    • 0022268780 scopus 로고
    • Reservoir Management and Operation Models: A State-of-the Art Review
    • W W G Yeh. 'Reservoir Management and Operation Models: A State-of-the Art Review'. Water Reservoir Research, vol 21, no 12, 1985, pp 1797-1818.
    • (1985) Water Reservoir Research , vol.21 , Issue.12 , pp. 1797-1818
    • Yeh, W.W.G.1
  • 4
    • 84978588744 scopus 로고
    • Water Resources Systems Planning and Analysis
    • Englewood Cliffs, New Jersey
    • D P Loucks, J R Stedinger and D A Haith. 'Water Resources Systems Planning and Analysis'. Prentice-Hall, Inc, Englewood Cliffs, New Jersey, 1981.
    • (1981) Prentice-Hall, Inc
    • Loucks, D.P.1    Stedinger, J.R.2    Haith, D.A.3
  • 8
    • 42149195445 scopus 로고    scopus 로고
    • H A Thomas and M B Ficring. 'Mathematical Synthesis of Stream Flow Sequences for the Analysis of River Basin by Simulation', in 'Design of Water Resources Systems'. A Maass, M M Humschmmidt, R Dorfman, H A Thomas (Jr), S A Margin and G M F'air (eds), Harvard University Press, Cambridge Mass, 1962
    • H A Thomas and M B Ficring. 'Mathematical Synthesis of Stream Flow Sequences for the Analysis of River Basin by Simulation', in 'Design of Water Resources Systems'. A Maass, M M Humschmmidt, R Dorfman, H A Thomas (Jr), S A Margin and G M F'air (eds), Harvard University Press, Cambridge Mass, 1962
  • 9
    • 0001687569 scopus 로고
    • An Extention to the Thomas-Fiering Model for the Sequential Generation of Streamflow
    • A Harms and T H Campbell. 'An Extention to the Thomas-Fiering Model for the Sequential Generation of Streamflow'. Water Resources Research, vol 3, no 3, 1967, pp 653-661.
    • (1967) Water Resources Research , vol.3 , Issue.3 , pp. 653-661
    • Harms, A.1    Campbell, T.H.2
  • 10
    • 84944833986 scopus 로고
    • Process in Stochastic Hydrology
    • Jr, Disaggregation
    • D Valencia and J C Schaake (Jr). 'Disaggregation Process in Stochastic Hydrology'. Water Resources Research, vol 9, no 3, 1973, pp 580-585.
    • (1973) Water Resources Research , vol.9 , Issue.3 , pp. 580-585
    • Valencia, D.1    Schaake, J.C.2
  • 11
    • 84978545834 scopus 로고
    • Application of HEC-4 Monthly Streamflow Simulation Model
    • N R Bhaskar and E Whitlatch. 'Application of HEC-4 Monthly Streamflow Simulation Model'. Water Resources Bulletin, vol 16, no 4, 1980, pp 587-593.
    • (1980) Water Resources Bulletin , vol.16 , Issue.4 , pp. 587-593
    • Bhaskar, N.R.1    Whitlatch, E.2
  • 12
    • 0021547621 scopus 로고
    • Disaggregation Procedures for Serially Correlated Flow Vectors
    • J R Stedinger and R M Vogel. 'Disaggregation Procedures for Serially Correlated Flow Vectors'. Water Resources Research, vol 20, no 1, 1984, pp 47-56.
    • (1984) Water Resources Research , vol.20 , Issue.1 , pp. 47-56
    • Stedinger, J.R.1    Vogel, R.M.2
  • 16
    • 0024162184 scopus 로고
    • Condensed Disaggregation Procedures and Conservation Corrections for Stochastic Hydrology
    • T C Grygier and J R Stedinger. 'Condensed Disaggregation Procedures and Conservation Corrections for Stochastic Hydrology'. Water Resources Research, vol 24, no 10, 1988, pp 1574-1584.
    • (1988) Water Resources Research , vol.24 , Issue.10 , pp. 1574-1584
    • Grygier, T.C.1    Stedinger, J.R.2
  • 20
    • 42149139691 scopus 로고
    • Multisite Streamflow Simulation of Saint John River
    • R S Gupta. 'Multisite Streamflow Simulation of Saint John River'. Journal of Institution of Engineers (India), vol 62, 1981, pp 301-305.
    • (1981) Journal of Institution of Engineers (India) , vol.62 , pp. 301-305
    • Gupta, R.S.1
  • 21
    • 42149131190 scopus 로고
    • Multi-site Streamflow Simulation Multivalley Project
    • S Mohan and Saravana Kumar. 'Multi-site Streamflow Simulation Multivalley Project'. Indian Journal of Power and River Valley Development, vol 42, no10 & 11, 1992, pp 301-305.
    • (1992) Indian Journal of Power and River Valley Development , vol.42 , Issue.NO10 11 , pp. 301-305
    • Mohan, S.1    Kumar, S.2
  • 22
    • 0003554038 scopus 로고
    • Artificial Intelligence -A Knowledge Based Approach
    • Boyd and Fraser, Bostom
    • M W Firebaugh. 'Artificial Intelligence -A Knowledge Based Approach'. Boston Boyd and Fraser, Bostom, 1988.
    • (1988) Boston
    • Firebaugh, M.W.1
  • 24
    • 0029413797 scopus 로고
    • Artificial Neural Network Modeling of the Rainfall-runoff Process
    • K L Hsu, H V Gupta and S Sorooshian. 'Artificial Neural Network Modeling of the Rainfall-runoff Process'. Water Resources Research, vol 31. no 10, 1995, pp 2517-2530.
    • (1995) Water Resources Research , vol.31 , Issue.10 , pp. 2517-2530
    • Hsu, K.L.1    Gupta, H.V.2    Sorooshian, S.3
  • 26
    • 2442639370 scopus 로고    scopus 로고
    • Development of Effective and Efficient Rainfall-Runoff Models Using Integration of Deterministic, Real Coded Genetic Algorithms and Artificial Neural Network Techniques
    • 4, doi:10.1029/2003WR002355
    • A Jain and S Srinivasulu. 'Development of Effective and Efficient Rainfall-Runoff Models Using Integration of Deterministic, Real Coded Genetic Algorithms and Artificial Neural Network Techniques'. Water Resources Research, vol 40, no 4, 2004, 4, W04302 doi:10.1029/2003WR002355.'
    • (2004) Water Resources Research , vol.40 , Issue.4
    • Jain, A.1    Srinivasulu, S.2
  • 27
    • 0037340658 scopus 로고    scopus 로고
    • Comparative Analysis of Event Based Rainfall-Runoff Modeling Techniques-Deterministic, Statistical and Artificial Neural Networks
    • A Jain and S K V Prasad Indurthy. 'Comparative Analysis of Event Based Rainfall-Runoff Modeling Techniques-Deterministic, Statistical and Artificial Neural Networks'. ASCE journal of Hydrologic Engineering, vol H, no 2, 2003, pp 93-98.
    • (2003) ASCE journal of Hydrologic Engineering , vol.H , Issue.2 , pp. 93-98
    • Jain, A.1    Prasad Indurthy, S.K.V.2
  • 28
    • 0036640826 scopus 로고    scopus 로고
    • Evaluation of Short-term Water Demand Forecast Modeling Techniques: Conventional Methods Versus AI
    • A Jain and L E Ormsbec. 'Evaluation of Short-term Water Demand Forecast Modeling Techniques: Conventional Methods Versus AI'. Journal of American Water Works Association, vol 94, no 7, 2002, pp 64-72.
    • (2002) Journal of American Water Works Association , vol.94 , Issue.7 , pp. 64-72
    • Jain, A.1    Ormsbec, L.E.2
  • 29
    • 0000230703 scopus 로고
    • Neural Networks as Forecasting Experts An Empirical Test
    • Washington, DC
    • R Sharda and R Patil. "Neural Networks as Forecasting Experts An Empirical Test'. Proc Int Joint Conf on Neural Networks, vol I, Washington, DC, 1990, pp 491-494.
    • (1990) Proc Int Joint Conf on Neural Networks , vol.1 , pp. 491-494
    • Sharda, R.1    Patil, R.2
  • 30
    • 0026258339 scopus 로고
    • Time Series Forecasting Using Neural Networks vs Box-Jenkins Methodology
    • Z Tang, C Almedia and P A Fishwick. 'Time Series Forecasting Using Neural Networks vs Box-Jenkins Methodology'. Simulation, vol 57, no 5, 1991, pp 303-310.
    • (1991) Simulation , vol.57 , Issue.5 , pp. 303-310
    • Tang, Z.1    Almedia, C.2    Fishwick, P.A.3
  • 31
    • 0000393458 scopus 로고
    • Feedforward Neural Nets as Model for Time Series Forcasting
    • Z Tang and P A Fishwick. 'Feedforward Neural Nets as Model for Time Series Forcasting'. ORSA, J Computing, vol 5, no 4, 1993, pp 374-385.
    • (1993) ORSA, J Computing , vol.5 , Issue.4 , pp. 374-385
    • Tang, Z.1    Fishwick, P.A.2
  • 32
    • 0026954346 scopus 로고
    • Forecasting the Behaviour of Multivariate Time Series Using Neural Networks
    • K Chakraborty, K Mehrotra, C K Mohan and S Ranka. 'Forecasting the Behaviour of Multivariate Time Series Using Neural Networks'. Neural Network, vol 5, 1992, pp 961-970.
    • (1992) Neural Network , vol.5 , pp. 961-970
    • Chakraborty, K.1    Mehrotra, K.2    Mohan, C.K.3    Ranka, S.4
  • 33
    • 0029413038 scopus 로고
    • Multivariate Modeling of Water Resources Time Series Using Artificial Neural Networks
    • H Raman and N Sunilkumar. 'Multivariate Modeling of Water Resources Time Series Using Artificial Neural Networks'. Journal of Hydrological Sciences, vol 40, no 2, 1995, pp 145-163.
    • (1995) Journal of Hydrological Sciences , vol.40 , Issue.2 , pp. 145-163
    • Raman, H.1    Sunilkumar, N.2
  • 34
    • 0033019602 scopus 로고    scopus 로고
    • Short Term Streamflow Forecasting Using Artificial Neural Networks
    • C M Zealand, D II Burn and S Simonovic. 'Short Term Streamflow Forecasting Using Artificial Neural Networks'. Journal of Hydrology, vol 214, 1999, pp 32-48.
    • (1999) Journal of Hydrology , vol.214 , pp. 32-48
    • Zealand, C.M.1    Burn II, D.2    Simonovic, S.3
  • 35
    • 42149107720 scopus 로고    scopus 로고
    • Artificial Neural Networks in Hydrology
    • and, eds, Dordrecht
    • R S Govindaraju and A R Rao (eds). 'Artificial Neural Networks in Hydrology'. Kluwer Academic Publishers, Dordrecht, 2000.
    • (2000) Kluwer Academic Publishers
  • 37
    • 0038502200 scopus 로고    scopus 로고
    • Artificial Neural Networks for Stream Flow Prediction
    • O R Dolling and E A Varas. 'Artificial Neural Networks for Stream Flow Prediction'. Journal of Hydraulic Research, vol 40, no 5, 2002, pp 547-554.
    • (2002) Journal of Hydraulic Research , vol.40 , Issue.5 , pp. 547-554
    • Dolling, O.R.1    Varas, E.A.2
  • 39
    • 0003770610 scopus 로고
    • Neural Networks Algorithms, Applications and Programming Techniques
    • J A Freeman and D M Skapura. 'Neural Networks Algorithms, Applications and Programming Techniques'. Addison Wesley Pub Com, 1991.
    • (1991) Addison Wesley Pub Com
    • Freeman, J.A.1    Skapura, D.M.2
  • 40
    • 0022471098 scopus 로고
    • Learning Representations by Backpropagation
    • D E Rumelhart, G E Hilton and R J L Willimans. 'Learning Representations by Backpropagation'. Nature, vol 323, 1986, pp 533-536.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hilton, G.E.2    Willimans, R.J.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.