Streamflow forecasting at ungaged sites using support vector machines
Developing reliable estimates of streamow prediction are crucial for water resources management and ood forecasting purposes. The objectives of this study are to investigate the potential of support vector machines (SVM) model for streamow forecasting at ungaged sites, and to compare its performance...
Main Authors: | Zakaria, Zaurahtul Amani, Shabri, Ani |
---|---|
Format: | Article |
Published: |
2012
|
Subjects: |
Similar Items
-
Fishery landing forecasting using EMD-based least square support vector machine models
by: Shabri, Ani
Published: (2015) -
Wavelet-support vector machine for forecasting palm oil price
by: Shabri, Ani, et al.
Published: (2019) -
Stream flow forecasting using principal component analysis and least square support vector machine
by: Ismail, Shuhaida, et al.
Published: (2014) -
Empirical Mode Decomposition Coupled with Least Square Support Vector Machine for River Flow Forecasting
by: Ismail, Shuhaida, et al.
Published: (2015) -
Streamflow forecasting using least-squares support vector machines
by: Shabri, Ani, et al.
Published: (2012)