Streamflow estimation by support vector machine coupled with different methods of time series decomposition in the upper reaches of Yangtze River, China

@article{Zhu2016StreamflowEB,
  title={Streamflow estimation by support vector machine coupled with different methods of time series decomposition in the upper reaches of Yangtze River, China},
  author={Shuang Zhu and Jianzhong Zhou and Lei Ye and Changqing Meng},
  journal={Environmental Earth Sciences},
  year={2016},
  volume={75},
  pages={1-12}
}
Machine learning models combined with time series decomposition are widely employed to estimate streamflow, yet the effect of the utilization of different decomposing methods on estimating accuracy is inadequately investigated and compared. In this paper, the main objective is to research the predictability of monthly streamflow using support vector machine model coupled with discrete wavelet transform (DWT) and empirical mode decomposition (EMD). The influence of the noise component of the… CONTINUE READING

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