Streamow Forecasting at Ungaged Sites Using Support Vector Machines

Developing reliable estimates of streamow prediction are crucial for water resources management and

[1]  Johan A. K. Suykens,et al.  Least Squares Support Vector Machines , 2002 .

[2]  Ashu Jain,et al.  Hybrid neural network models for hydrologic time series forecasting , 2007, Appl. Soft Comput..

[3]  Jen-Ying Shih,et al.  A study of Taiwan's issuer credit rating systems using support vector machines , 2006, Expert Syst. Appl..

[4]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[5]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[6]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[7]  C. Shu,et al.  Regional flood frequency analysis at ungauged sites using the adaptive neuro-fuzzy inference system , 2008 .

[8]  Cheng-Lung Huang,et al.  A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting , 2009, Expert Syst. Appl..

[9]  G. Tasker,et al.  REGION OF INFLUENCE REGRESSION FOR ESTIMATING THE 50‐YEAR FLOOD AT UNGAGED SITES , 1996 .

[10]  Neslihan Seçkin,et al.  Modeling flood discharge at ungauged sites across Turkey using neuro-fuzzy and neural networks , 2011 .

[11]  Dawei Han,et al.  Flood forecasting using support vector machines , 2007 .

[12]  J. Hosking.  L‐Moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics , 1990 .

[13]  Hyun-Han Kwon,et al.  A modified support vector machine based prediction model on streamflow at the Shihmen Reservoir, Taiwan , 2010 .

[14]  Dimitri P. Solomatine,et al.  Model Induction with Support Vector Machines: Introduction and Applications , 2001 .

[15]  Yi-Qing Ni,et al.  Modeling of Temperature–Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique , 2007 .

[16]  Richard M. Vogel,et al.  Generalized low-flow frequency relationships for ungaged sites in Massachusetts. , 1990 .

[17]  Chuntian Cheng,et al.  A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series , 2009 .

[18]  J. R. Wallis,et al.  Regional Frequency Analysis: An Approach Based on L-Moments , 1997 .

[19]  D. Thomas,et al.  Generalization of streamflow characteristics from drainage-basin characteristics , 1970 .

[20]  V. Nguyen,et al.  A comparative study of regression based methods in regional flood frequency analysis , 1999 .