EFFICIENCY ASSESSMENT OF LOCAL PREDICTION METHOD CONSIDERING RECONSTRUCTION OF PHASE SPACE AND ARTIFICIAL NEURAL NETWORK MODEL FOR PREDICTION OF RUNOFF (CASE STUDY: POLE-KOHNEH STATION, KERMANSHAH)

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ZOUNEMAT KERMANI M.; AMIRKHANI KH.

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Journal: Ferdowsi Civil Engineering Year:2017 | Volume:28 | Issue:2 (16) Page(s): 91-107

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Title

EFFICIENCY ASSESSMENT OF LOCAL PREDICTION METHOD CONSIDERING RECONSTRUCTION OF PHASE SPACE AND ARTIFICIAL NEURAL NETWORK MODEL FOR PREDICTION OF RUNOFF (CASE STUDY: POLE-KOHNEH STATION, KERMANSHAH)

Author(s)

ZOUNEMAT KERMANI M. | AMIRKHANI KH. | Issue Writer Certificate

Keywords

RUNOFF TIME SERIESQ2

CHAOS THEORYQ2

LOCAL PREDICTION METHODQ2

Abstract

In this research, prediction methods of artificial neural network and LOCAL PREDICTION METHOD (LPM) based on the CHAOS THEORY are employed to predict daily, weekly and monthly runoff. For achieving this purpose, runoff series data observed at Pole-Kohneh located in the Qareh-Soo River were utilized. The nonlinear predictions of LPM are found to be in close agreement with the observed runoff, with high correlation coefficient for daily and weekly time scales. Predicted results of monthly time scale are not satisfying which indicating the signs of existing chaos behavior in daily and weekly scales. The predicted results of ANN are inferior to LPM for daily and weekly scales but superior to LPM for monthly scale.

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APA: Copy

ZOUNEMAT KERMANI, M., & AMIRKHANI, KH.. (2017). EFFICIENCY ASSESSMENT OF LOCAL PREDICTION METHOD CONSIDERING RECONSTRUCTION OF PHASE SPACE AND ARTIFICIAL NEURAL NETWORK MODEL FOR PREDICTION OF RUNOFF (CASE STUDY: POLE-KOHNEH STATION, KERMANSHAH). JOURNAL OF CIVIL ENGINEERING (JOURNAL OF SCHOOL OF ENGINEERING), 28(2 (16)), 91-107. SID. https://sid.ir/paper/195932/en

Vancouver: Copy

ZOUNEMAT KERMANI M., AMIRKHANI KH.. EFFICIENCY ASSESSMENT OF LOCAL PREDICTION METHOD CONSIDERING RECONSTRUCTION OF PHASE SPACE AND ARTIFICIAL NEURAL NETWORK MODEL FOR PREDICTION OF RUNOFF (CASE STUDY: POLE-KOHNEH STATION, KERMANSHAH). JOURNAL OF CIVIL ENGINEERING (JOURNAL OF SCHOOL OF ENGINEERING)[Internet]. 2017;28(2 (16)):91-107. Available from: https://sid.ir/paper/195932/en

IEEE: Copy

M. ZOUNEMAT KERMANI, and KH. AMIRKHANI, “EFFICIENCY ASSESSMENT OF LOCAL PREDICTION METHOD CONSIDERING RECONSTRUCTION OF PHASE SPACE AND ARTIFICIAL NEURAL NETWORK MODEL FOR PREDICTION OF RUNOFF (CASE STUDY: POLE-KOHNEH STATION, KERMANSHAH),” JOURNAL OF CIVIL ENGINEERING (JOURNAL OF SCHOOL OF ENGINEERING), vol. 28, no. 2 (16), pp. 91–107, 2017, [Online]. Available: https://sid.ir/paper/195932/en

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