PREDICTION OF LOCAL SCOUR AROUND ABUTMENT USING ANN AND ANFIS

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MOHAMMADPOUR R.; MOHAMMADPOUR F.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: Journal of Water Resources Engineering Year:2014 | Volume:7 | Issue:20 Page(s): 11-28

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Title

PREDICTION OF LOCAL SCOUR AROUND ABUTMENT USING ANN AND ANFIS

Author(s)

MOHAMMADPOUR R. | MOHAMMADPOUR F. | Issue Writer Certificate

Keywords

ABUTMENT SCOURQ2

ANFISQ2

ARTIFICIAL NEURAL NETWORKSQ2

SCOUR TIMEQ2

SHORT AND INTERMEDIATE ABUTMENTQ2

TIME VARIATIONQ2

Abstract

Time-variation of scour depth around abutments is more complicated due to the three-dimensional vortex flow. In this study, variation of the scour depth with time around abutments was investigated experimentally under clear-water conditions. The Nonlinear Regression (NLR), neuro-fuzzy inference system (ANFIS) and ARTIFICIAL NEURAL NETWORKS (ANN) were employed to predict the TIME VARIATION of scour depth at intermediate and short abutment. Statistical analysis showed that, although the presented regression method (R2=0.957, RMSE=0.049 and MAE=0.035) provided a better prediction compared to previous equations but the ANFIS (R2=0.961, RMSE=0.041 and MAE=0.025) produces a more accurate result. Statistical measurements showed that ANFIS as well as ANNs can be considered as a robust technique to predict the temporal scour depth at the SHORT AND INTERMEDIATE ABUTMENT.

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APA: Copy

MOHAMMADPOUR, R., & MOHAMMADPOUR, F.. (2014). PREDICTION OF LOCAL SCOUR AROUND ABUTMENT USING ANN AND ANFIS. WATER ENGINEERING, 7(20), 11-28. SID. https://sid.ir/paper/169526/en

Vancouver: Copy

MOHAMMADPOUR R., MOHAMMADPOUR F.. PREDICTION OF LOCAL SCOUR AROUND ABUTMENT USING ANN AND ANFIS. WATER ENGINEERING[Internet]. 2014;7(20):11-28. Available from: https://sid.ir/paper/169526/en

IEEE: Copy

R. MOHAMMADPOUR, and F. MOHAMMADPOUR, “PREDICTION OF LOCAL SCOUR AROUND ABUTMENT USING ANN AND ANFIS,” WATER ENGINEERING, vol. 7, no. 20, pp. 11–28, 2014, [Online]. Available: https://sid.ir/paper/169526/en

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