Genetic programming for modelling long-term hydrological time series

5th International Conference on Natural Computation, ICNC 2009

Volumn 4, Issue , 2009, Pages 265-269

  Wang, Wenchuan ^a   Xu, Dongmei ^a   Qiu, Lin ^a   Ma, Jianqin ^a  

^a NORTH CHINA INSTITUTE OF WATER CONSERVANCY AND HYDROELECTRIC POWER   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOCORRELATION FUNCTIONS; EFFECTIVE ALGORITHMS; EVOLUTIONARY COMPUTING; FLOW PREDICTION; HUMAN UNDERSTANDING; HYDROLOGICAL TIME-SERIES; IDENTIFICATION TECHNIQUES; INPUT VARIABLES; RESERVOIR INFLOW; RIVER FLOW DISCHARGES; ROOT MEAN SQUARE ERRORS; SEQUENCE DATA; STATISTICAL CHARACTERISTICS; STRUCTURED SYSTEMS; WEIGHT MATRICES;

FORECASTING; GENETIC ALGORITHMS; GENETIC PROGRAMMING; REGRESSION ANALYSIS; RESERVOIRS (WATER); TIME SERIES;

NEURAL NETWORKS;

EID: 77950592655     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2009.210     Document Type: Conference Paper

References (14)

1. ASCE Task Committee: "Artificial neural networks in hydrology-I: Preliminary concepts". Journal of Hydrologie Engineering, ASCE, vol.5, pp.115-123, (2000)
2. ASCE Task Committee: "Artificial neural networks in hydrology-II: Hydrological applications". Journal of Hydrologie Engineering, ASCE, vol.5, pp.124-137, 2000. (Pubitemid 30458084)
3. MXampolo, A. Soldati, P. "Andreussi, Artificial neural network approach to flood forecasting in the River Arno". Hydrological sciences journal, vol.48, pp. 381-398, 2003.
4. C. T. Cheng, K. W. Chau, Y. G. Sun, et al. "Long-term prediction of discharges in manwan reservoir using artificial neural network models". Lecture Notes in Computer Science. 3498, pp.1040-1045, 2005. (Pubitemid 41315218)
5. T.S. Hu, K.C. Lam, S.T. Ng, "A modified neural network. for improving river flow prediction", Hydrological sciences journal, vol.50, pp. 299-318, 2005
6. J. Koza, Genetic Programming: On the Programming of Computers by Natural Selection. MIT Press, Cambridge, MA. 1992.
7. N. Muttil, J.H.W. Lee, "Genetic programming for analysis and real-time prediction of coastal algal blooms". Ecological modelling, vol.189, pp.363-376, 2005 (Pubitemid 41628242)
8. A. Tsakonas, G. Dounias, M. Doumpos, et al. "Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming". Expert Systems with Applications, vol.30, pp.449-461, 2006.
9. S.Y. Liong, R.R. Gautam, S.T. Khu, et al. "Genetic Programming: A new paradigm in rainfall runoff modeling". Journal of the American Water Resources Association, vol.38, pp.705-718, 2002.
10. A. Guven, A. Aytek, M.I. Yuce and, H. Aksoy, "Genetic Programming-Based Empirical Model for Daily Reference Evapotranspiration Estimation". Clean-Soil Air Water, vol.36, pp. 905-912.2008.
11. V. Babovic, M. Keijzer, Genetic Programming as a model induction engine. Journal of Hydroinformatics. vol.2 pp. 35-60, 2000.
12. K. P. Sudheer, A. K. Gosain, K. S. Ramasastri, "A datadriven algorithm for constructing artificial neural network rainfall-runoff models". Hydrological Processes, vol.16, pp.1325-1330, 2002 (Pubitemid 34265014)
13. G. E. Box, G. M. Jenkins and G. C. Reinsel, Time series Analysis, Forecasting and Control. Prentice-Hall, Englewood Cliffs, New Jersey, USA, 1994.
14. M.F. Moller, "A Scaled conjugate gradient algorithm for fast supervised learning", Neural Networks, vol.6, pp. 523-533, 1993