MONTHLY STREAM FLOW PREDICTION USING SUPPORT VECTOR MACHINE BASED ON PRINCIPAL COMPONENT ANALYSIS

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NOORI ROOHOLLAH; KHAKPOUR AMIR; DEHGHANI MAJID; FAROKHNIA ASHKAN

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Journal: WATER AND WASTEWATER Year:2011 | Volume:22 | Issue:1 (77) Page(s): 118-123

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Title

MONTHLY STREAM FLOW PREDICTION USING SUPPORT VECTOR MACHINE BASED ON PRINCIPAL COMPONENT ANALYSIS

Author(s)

NOORI ROOHOLLAH | KHAKPOUR AMIR | DEHGHANI MAJID | FAROKHNIA ASHKAN | Issue Writer Certificate

Keywords

SUPPORT VECTOR MACHINEQ2

PRINCIPAL COMPONENT ANALYSISQ3

MONTHLY STREAM FLOWQ3

Abstract

The main goal of this research is to evaluate the role of input selection by PRINCIPAL COMPONENT ANALYSIS (PCA) on SUPPORT VECTOR MACHINE (SVM) performance for MONTHLY STREAM FLOW prediction. For this purpose, SVM is used to predict monthly flow as a function of 18 input variables. PCA is subsequently employed to reduce the number of input variables from 18 to 5 PCs which are finally fed into the SVM model. SVM and PCA-SVM models are evaluated in terms of their performance using a developed statistic by the authors. Findings show that preprocessing of input variables by PCA improved SVM performance.

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APA: Copy

NOORI, ROOHOLLAH, KHAKPOUR, AMIR, DEHGHANI, MAJID, & FAROKHNIA, ASHKAN. (2011). MONTHLY STREAM FLOW PREDICTION USING SUPPORT VECTOR MACHINE BASED ON PRINCIPAL COMPONENT ANALYSIS. WATER AND WASTEWATER, 22(1 (77)), 118-123. SID. https://sid.ir/paper/103526/en

Vancouver: Copy

NOORI ROOHOLLAH, KHAKPOUR AMIR, DEHGHANI MAJID, FAROKHNIA ASHKAN. MONTHLY STREAM FLOW PREDICTION USING SUPPORT VECTOR MACHINE BASED ON PRINCIPAL COMPONENT ANALYSIS. WATER AND WASTEWATER[Internet]. 2011;22(1 (77)):118-123. Available from: https://sid.ir/paper/103526/en

IEEE: Copy

ROOHOLLAH NOORI, AMIR KHAKPOUR, MAJID DEHGHANI, and ASHKAN FAROKHNIA, “MONTHLY STREAM FLOW PREDICTION USING SUPPORT VECTOR MACHINE BASED ON PRINCIPAL COMPONENT ANALYSIS,” WATER AND WASTEWATER, vol. 22, no. 1 (77), pp. 118–123, 2011, [Online]. Available: https://sid.ir/paper/103526/en

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