Development of an accurate and reliable hourly flood forecasting model using wavelet–bootstrap–ANN (WBANN) hybrid approach

作者: Mukesh K. Tiwari , Chandranath Chatterjee

DOI: 10.1016/J.JHYDROL.2010.10.001

关键词:

摘要: … The observed water level time series of a particular gauging … This study reveals that whereas wavelet decomposition … A wide variety of rainfall–runoff models have been developed and …

参考文章(76)
Michaela Bray, Dawei Han, Identification of Support Vector Machines for Runoff Modelling Journal of Hydroinformatics. ,vol. 6, pp. 265- 280 ,(2004) , 10.2166/HYDRO.2004.0020
Berndt Müller, Joachim Reinhardt, Neural Networks: An Introduction ,(2014)
Christopher M. Bishop, Neural networks for pattern recognition ,(1995)
S. Tamea, F. Laio, L. Ridolfi, Probabilistic nonlinear prediction of river flows Water Resources Research. ,vol. 41, pp. 09421- ,(2005) , 10.1029/2005WR004136
Hikmet Kerem Cigizoglu, Generalized regression neural network in monthly flow forecasting Civil Engineering and Environmental Systems. ,vol. 22, pp. 71- 81 ,(2005) , 10.1080/10286600500126256
P.C Nayak, K.P Sudheer, D.M Rangan, K.S Ramasastri, A neuro-fuzzy computing technique for modeling hydrological time series Journal of Hydrology. ,vol. 291, pp. 52- 66 ,(2004) , 10.1016/J.JHYDROL.2003.12.010