EVALUATION OF EMPIRICAL ORTHOGONAL FUNCTIONS TO THE FUZZY INFERENCE SYSTEM AND ARTIFICIAL NEURAL NETWORK TO PREDICT THE FLOW

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KHODAEI KARIM; QAMARNIA HOUSHANG; ABDOLLAH TAHERI; QOBADIAN RASOUL; NOORI MOHAMMAD HOSEIN

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Journal: Journal of Irrigation and Water Engineering Year:2014 | Volume:4 | Issue:14 Page(s): 29-37

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Title

EVALUATION OF EMPIRICAL ORTHOGONAL FUNCTIONS TO THE FUZZY INFERENCE SYSTEM AND ARTIFICIAL NEURAL NETWORK TO PREDICT THE FLOW

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Keywords

ARTIFICIAL NEURAL NETWORKQ2

EMPIRICAL ORTHOGONAL FUNCTIONSQ2

FUZZY INFERENCE SYSTEM FLOW FORECASTINGQ2

MODELQ2

Abstract

To predict the value of the streamflow, usually two methods of the Process-driven methods and Data– driven methods is used. Including Data – driven methods in river flow forecasting is ARTIFICIAL NEURAL NETWORK, regression, time series and fuzzy logic. In this study, performance of another method EMPIRICAL ORTHOGONAL FUNCTIONS than ARTIFICIAL NEURAL NETWORK and fuzzy inference system to predict monthly inflow Latyan Dam reservoir was evaluated. Five MODELs of ANN and ANFIS are similar and depends on rainfall, temperature and streamflow. Whereas five MODELs of EOF depends on only streamflow in Latian station and Adjacent stations. Initial for all MODELs the best combination identified, then statistical parameters of CE, MAPE, RMSE, CORR in the best combinations of all MODELs were compared. The results showed that the fuzzy inference system, a better performance than the other way round.

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APA: Copy

KHODAEI, KARIM, QAMARNIA, HOUSHANG, ABDOLLAH, TAHERI, QOBADIAN, RASOUL, & NOORI, MOHAMMAD HOSEIN. (2014). EVALUATION OF EMPIRICAL ORTHOGONAL FUNCTIONS TO THE FUZZY INFERENCE SYSTEM AND ARTIFICIAL NEURAL NETWORK TO PREDICT THE FLOW. IRANIAN OF IRRIGATION & WATER ENGINEERING, 4(14), 29-37. SID. https://sid.ir/paper/247288/en

Vancouver: Copy

KHODAEI KARIM, QAMARNIA HOUSHANG, ABDOLLAH TAHERI, QOBADIAN RASOUL, NOORI MOHAMMAD HOSEIN. EVALUATION OF EMPIRICAL ORTHOGONAL FUNCTIONS TO THE FUZZY INFERENCE SYSTEM AND ARTIFICIAL NEURAL NETWORK TO PREDICT THE FLOW. IRANIAN OF IRRIGATION & WATER ENGINEERING[Internet]. 2014;4(14):29-37. Available from: https://sid.ir/paper/247288/en

IEEE: Copy

KARIM KHODAEI, HOUSHANG QAMARNIA, TAHERI ABDOLLAH, RASOUL QOBADIAN, and MOHAMMAD HOSEIN NOORI, “EVALUATION OF EMPIRICAL ORTHOGONAL FUNCTIONS TO THE FUZZY INFERENCE SYSTEM AND ARTIFICIAL NEURAL NETWORK TO PREDICT THE FLOW,” IRANIAN OF IRRIGATION & WATER ENGINEERING, vol. 4, no. 14, pp. 29–37, 2014, [Online]. Available: https://sid.ir/paper/247288/en

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