Evaluation of Predictive Potential of a learning Machine Method on Peak Outflow Due to Embankment Dam Failure

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FARHADI HAMED; ESMAILI KAZEM

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Journal Paper

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Journal: Journal of Irrigation and Water Engineering Year:2019 | Volume:9 | Issue:36 Page(s): 1-13

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Title

Evaluation of Predictive Potential of a learning Machine Method on Peak Outflow Due to Embankment Dam Failure

Author(s)

FARHADI HAMED | ESMAILI KAZEM | Issue Writer Certificate

Keywords

Learning MachineQ1

Artificial IntelligenceQ1

Dam breakQ1

Earth damQ1

Flood peak outflowQ1

Abstract

In this study, the potential of Support Vector Machine (SVM( in the prediction of peak outflow due to dam failure was evaluated. Huge volume deposited behind dam may cause a large casualty in case of sudden release of it to downstream. Head and volume of water at the time of failure were considered as inputs to SVM model. To train these models, 70% of 112 gathered data from literature was used as training subset and the rest 30% was used to test the model as test subset, at the same time these two subsets were selected in a way to be statistically similar. After studying four SVM models with different kernel functions, i. e. Linear, Polynomial, Radial Basis Function and Sigmoid, it was found that SVM with Radial Basis Kernel function outperforms other models. Results of the statistical evaluation of the proposed model are satisfying with R2=0. 96, RMSE=0. 03 for training phase and R2=0. 94, RMSE=0. 05 for the test phase. A comparison was made between some conventional empirical equations and the proposed model in which results shows proposed SVM model surpasses empirical equations in predicting peak outflow due to embankment dam failure.

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APA: Copy

FARHADI, HAMED, & ESMAILI, KAZEM. (2019). Evaluation of Predictive Potential of a learning Machine Method on Peak Outflow Due to Embankment Dam Failure. IRANIAN OF IRRIGATION & WATER ENGINEERING, 9(36 ), 1-13. SID. https://sid.ir/paper/247256/en

Vancouver: Copy

FARHADI HAMED, ESMAILI KAZEM. Evaluation of Predictive Potential of a learning Machine Method on Peak Outflow Due to Embankment Dam Failure. IRANIAN OF IRRIGATION & WATER ENGINEERING[Internet]. 2019;9(36 ):1-13. Available from: https://sid.ir/paper/247256/en

IEEE: Copy

HAMED FARHADI, and KAZEM ESMAILI, “Evaluation of Predictive Potential of a learning Machine Method on Peak Outflow Due to Embankment Dam Failure,” IRANIAN OF IRRIGATION & WATER ENGINEERING, vol. 9, no. 36 , pp. 1–13, 2019, [Online]. Available: https://sid.ir/paper/247256/en

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