PREDICTION OF DISCHARGE COEFFICIENT FOR BROAD AND SHARP CRESTED WEIRS BY FUZZY INFERENCE SYSTEM AND NEURAL FUZZY INFERENCE SYSTEM (TECHNICAL NOTE)

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MEHRI Y.; ABBASI N.; ARVANAGHI H.

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Journal: IRAN-WATER RESOURCES RESEARCH Year:2017 | Volume:13 | Issue:3 Page(s): 167-174

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Title

PREDICTION OF DISCHARGE COEFFICIENT FOR BROAD AND SHARP CRESTED WEIRS BY FUZZY INFERENCE SYSTEM AND NEURAL FUZZY INFERENCE SYSTEM (TECHNICAL NOTE)

Author(s)

MEHRI Y. | ABBASI N. | ARVANAGHI H. | Issue Writer Certificate

Keywords

INTELLIGENT TECHNIQUESQ1

PHYSICAL MODELQ3

ANFISQ1

FUZZY LOGICQ3

Abstract

Sharp and broad crested weirs are the most commonly used tools for measuring the flow in irrigation and drainage networks. Considering the importance of exact calculation of discharge and the just allocation of water, estimating the discharge coefficient for the weirs is so essential and important. In this research, application and reliability of two intelligent models of fuzzy inference system and ANFIS models were studied for estimation of the rectangular sharp-crested and broad crest weir discharge coefficient. For this purpose, a laboratory flume was used to determine the flow velocity and flow rate over different weirs. Then, analytical evaluations were made using optimization models for determination of weirs’ discharge coefficients. Statistical analysis of the results showed that ANFIS model with the least amount of RMSE and R2=0.96 for sharp-crested and R2=0.95 for broad-crested weirs is the most reliable method in comparison to the others.

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APA: Copy

MEHRI, Y., ABBASI, N., & ARVANAGHI, H.. (2017). PREDICTION OF DISCHARGE COEFFICIENT FOR BROAD AND SHARP CRESTED WEIRS BY FUZZY INFERENCE SYSTEM AND NEURAL FUZZY INFERENCE SYSTEM (TECHNICAL NOTE). IRAN-WATER RESOURCES RESEARCH, 13(3 ), 167-174. SID. https://sid.ir/paper/100271/en

Vancouver: Copy

MEHRI Y., ABBASI N., ARVANAGHI H.. PREDICTION OF DISCHARGE COEFFICIENT FOR BROAD AND SHARP CRESTED WEIRS BY FUZZY INFERENCE SYSTEM AND NEURAL FUZZY INFERENCE SYSTEM (TECHNICAL NOTE). IRAN-WATER RESOURCES RESEARCH[Internet]. 2017;13(3 ):167-174. Available from: https://sid.ir/paper/100271/en

IEEE: Copy

Y. MEHRI, N. ABBASI, and H. ARVANAGHI, “PREDICTION OF DISCHARGE COEFFICIENT FOR BROAD AND SHARP CRESTED WEIRS BY FUZZY INFERENCE SYSTEM AND NEURAL FUZZY INFERENCE SYSTEM (TECHNICAL NOTE),” IRAN-WATER RESOURCES RESEARCH, vol. 13, no. 3 , pp. 167–174, 2017, [Online]. Available: https://sid.ir/paper/100271/en

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