APPLICATION OF AN ARTIFICIAL NEURAL NETWORK IN LUMPED FLOOD ROUTING

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HOSSEINI SEYED MAHMOUD; MIRSALEHI M.M.; SAGHI H.

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Paper Information

Journal: JOURNAL OF SCHOOL OF ENGINEERING Year:2002 | Volume:14 | Issue:2 Page(s): 141-158

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Information Journal Paper

Title

APPLICATION OF AN ARTIFICIAL NEURAL NETWORK IN LUMPED FLOOD ROUTING

Author(s)

HOSSEINI SEYED MAHMOUD | MIRSALEHI M.M. | SAGHI H. | Issue Writer Certificate

Keywords

AOOD ROUTINGQ4

PERCEPTRON ARIFICIAL NEURAL NETWORKQ4

LUMPED ROUTINGQ4

DISTRIBUTED ROUTINGQ4

Abstract

Flood routing is one of the complicated subjects in hydraulic engineering. Several methods have been developed for flood routing. These methods can be classified into two different groups, distributed and LUMPED ROUTING methods. The main objective of this research is to search for the capabilities of the Artificial Neural Network (ANN) method for flood routing and to introduce a new method based on ANN that can be more accurate than the conventional LUMPED ROUTING methods. After utilization of different ANN structures and analysing different data, it was found that a 3-layer perceptron ANN (2 cells in the hidden layer) with sigmoid activation function and bias term in the cells can give good results. Comparison of the ANN results with those of the linear Muskingum method shows that, despite the weakness of the ANN method in exactly satisfying the mass balance equation, it performs better in term of other error criteria such as the sum of square of errors or the error in predicting the time and magnitude of the peak discharge. Another advantage of the ANN method is its capability of interpolating flood wave characteristics. This capability is highlighted in this paper.

Cites

DETERMINATION OF THE BEST LAYER ACTIVATION FUNCTION FOR FORECASTING PEAK DISCHARGE OUTPUT IN NEURAL NETWORK, TECHNICAL NOTE

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APA: Copy

HOSSEINI, SEYED MAHMOUD, MIRSALEHI, M.M., & SAGHI, H.. (2002). APPLICATION OF AN ARTIFICIAL NEURAL NETWORK IN LUMPED FLOOD ROUTING. JOURNAL OF SCHOOL OF ENGINEERING, 14(2), 141-158. SID. https://sid.ir/paper/22613/en

Vancouver: Copy

HOSSEINI SEYED MAHMOUD, MIRSALEHI M.M., SAGHI H.. APPLICATION OF AN ARTIFICIAL NEURAL NETWORK IN LUMPED FLOOD ROUTING. JOURNAL OF SCHOOL OF ENGINEERING[Internet]. 2002;14(2):141-158. Available from: https://sid.ir/paper/22613/en

IEEE: Copy

SEYED MAHMOUD HOSSEINI, M.M. MIRSALEHI, and H. SAGHI, “APPLICATION OF AN ARTIFICIAL NEURAL NETWORK IN LUMPED FLOOD ROUTING,” JOURNAL OF SCHOOL OF ENGINEERING, vol. 14, no. 2, pp. 141–158, 2002, [Online]. Available: https://sid.ir/paper/22613/en

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