Monthly streamflow prediction using modified EMD-based support vector machine

• Published in: Journal of hydrology (Amsterdam) Vol. 511; pp. 764 - 775
• Main Authors: Huang, Shengzhi, Chang, Jianxia, Huang, Qiang, Chen, Yutong
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 16.04.2014
• Subjects: Empirical mode decomposition; Error analysis; Errors; Grid research method; Hydrology; Learning theory; Mathematical models; Monthly streamflow; Neural networks; Performance evaluation; prediction; Stations; stream flow; Support vector machine; Support vector machines; The Wei River Basin; water power; watersheds; Monthly streamflow; Empirical mode decomposition; Support vector machine; Grid research method; The Wei River Basin

•A modified EMD–SVM model improved by removing the IMF1 is proposed.•The grid research method is employed to acquire the optimal parameter of SVM.•The EMD–SVM model has a better performance than the basic SVM model.•The M-EMDSVM model outperforms the SVM and EMD–SVM models. It is of great significan...