ANFIS AND NEURAL NETWORK METHODS TO SENSITIVITY ANALYSIS OF THE FACTORS IN AERATED SPILLWAY

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MAHDAVI MEYMAND AMIN; AHADIYAN JAVAD; EHTERAM MOHAMMAD

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Journal Paper

Paper Information

Journal: Journal of Irrigation and Water Engineering Year:2014 | Volume:5 | Issue:17 Page(s): 83-95

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Title

ANFIS AND NEURAL NETWORK METHODS TO SENSITIVITY ANALYSIS OF THE FACTORS IN AERATED SPILLWAY

Author(s)

MAHDAVI MEYMAND AMIN | AHADIYAN JAVAD | EHTERAM MOHAMMAD | Issue Writer Certificate

Keywords

AERATEDQ2

ANFISQ2

NEURAL NETWORKQ2

SENSITIVITYQ2

Abstract

Aeration is one of the methods to reduce the cavitation damaged in spillways. The Aerators are designed in order adding air to flow. In this study, to estimate the required aerators air demand, three methods: NEURAL NETWORK (based on Levenberg- Marquardt algorithm), ANFIS and the Fisher's experimental method was used. The parameters flow depth at the aeration system, flow discharge, Step height, Ramp angle and The pressure difference between atmospheric pressure and pressure under the flow jet in order to modeling was used. The Modeling results show that ANFIS method has better performance than the other two methods. In NEURAL NETWORKs and ANFIS methods the pressure difference has the greatest impact on modeling. If this parameter is omitted in the modeling, root mean square error for ANN 37.54 and ANFIS 224.74 percent increases. In ANN and ANFIS methods Step height has the Minimum impact on modeling. If Step height parameter omitted in the modeling, root mean square error for ANN 5.39 and ANFIS 13.4 percent increases.

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APA: Copy

MAHDAVI MEYMAND, AMIN, AHADIYAN, JAVAD, & EHTERAM, MOHAMMAD. (2014). ANFIS AND NEURAL NETWORK METHODS TO SENSITIVITY ANALYSIS OF THE FACTORS IN AERATED SPILLWAY. IRANIAN OF IRRIGATION & WATER ENGINEERING, 5(17), 83-95. SID. https://sid.ir/paper/247355/en

Vancouver: Copy

MAHDAVI MEYMAND AMIN, AHADIYAN JAVAD, EHTERAM MOHAMMAD. ANFIS AND NEURAL NETWORK METHODS TO SENSITIVITY ANALYSIS OF THE FACTORS IN AERATED SPILLWAY. IRANIAN OF IRRIGATION & WATER ENGINEERING[Internet]. 2014;5(17):83-95. Available from: https://sid.ir/paper/247355/en

IEEE: Copy

AMIN MAHDAVI MEYMAND, JAVAD AHADIYAN, and MOHAMMAD EHTERAM, “ANFIS AND NEURAL NETWORK METHODS TO SENSITIVITY ANALYSIS OF THE FACTORS IN AERATED SPILLWAY,” IRANIAN OF IRRIGATION & WATER ENGINEERING, vol. 5, no. 17, pp. 83–95, 2014, [Online]. Available: https://sid.ir/paper/247355/en

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