Estimation of River Flow Using Artificial Neural Networks and NeuroSolutions software: A Case Study of Zarineh Rood Miandoab River

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Siosemarde Maroof; VALIPOUR ALI

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Journal: JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING Year:2020 | Volume:4 | Issue:1 Page(s): 30-43

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Title

Estimation of River Flow Using Artificial Neural Networks and NeuroSolutions software: A Case Study of Zarineh Rood Miandoab River

Author(s)

Siosemarde Maroof | VALIPOUR ALI | Issue Writer Certificate

Keywords

Discharge

Zarrinehroud

Artificial Neural Network

NeuroSolutions software

Abstract

Accurate river Discharge estimation is one of the most important pillars in the management of surface water resources, especially for appropriate measures in flood situations, droughts, and drinking, agricultural and industrial applications. In this research, to estimate the Discharge of the Zarrineh River, daily data and data of the Zarrineh River with a statistical period of 10 years at the site of the Sari Station of Qomish were used using the NeuroSolutions software. In this research, 60% of the data for training, 20% of data for validation and 20% for the rest were also used for testing. Various networks have been compared with multi-layered perceptron neural network (MLP), general predictor and radial base function. And the results indicate that the Multilevel Perceptron Neural Model (MLP) with the lowest mean square error was the best neural model. In this study, several networks with different transmission functions (TanhAxon, SigmoidAxon, LinearTanhAxon, and LinearSigmoidAxon) were compared. And the results indicate that the LinearTanhAxon transmission function with the lowest mean square error was the best transfer function. Also, networks with one and two hidden layers were compared and the results showed that the network with a hidden layer was better than the hidden two-layer network.

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APA: Copy

Siosemarde, Maroof, & VALIPOUR, ALI. (2020). Estimation of River Flow Using Artificial Neural Networks and NeuroSolutions software: A Case Study of Zarineh Rood Miandoab River. JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING, 4(1 ), 30-43. SID. https://sid.ir/paper/358668/en

Vancouver: Copy

Siosemarde Maroof, VALIPOUR ALI. Estimation of River Flow Using Artificial Neural Networks and NeuroSolutions software: A Case Study of Zarineh Rood Miandoab River. JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING[Internet]. 2020;4(1 ):30-43. Available from: https://sid.ir/paper/358668/en

IEEE: Copy

Maroof Siosemarde, and ALI VALIPOUR, “Estimation of River Flow Using Artificial Neural Networks and NeuroSolutions software: A Case Study of Zarineh Rood Miandoab River,” JOURNAL OF NEW APPROACHES IN CIVIL ENGINEERING, vol. 4, no. 1 , pp. 30–43, 2020, [Online]. Available: https://sid.ir/paper/358668/en

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