Modeling of River Sediment Estimation Using Artificial Neural Network Method (Case Study: Vanai River)

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Abolfathi Dariush; MADADI AGHIL; ASGHARI SAYYAD

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Paper Information

Journal: JOURNAL OF GEOGRAPHICAL SCIENCES Year:2022 | Volume:22 | Issue:66 Page(s): 41-56

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Title

Modeling of River Sediment Estimation Using Artificial Neural Network Method (Case Study: Vanai River)

Author(s)

Abolfathi Dariush | MADADI AGHIL | ASGHARI SAYYAD | Issue Writer Certificate

Keywords

Vanai

Neural Network

Sediment Estimation

Linear Regression

MLP

RBF

Abstract

The purpose of this study was to estimate the amount of sediment of Vanai River in Borujerd. In this research, the characteristics of the sub-basins of this river have been extracted first. These specifications include the physical characteristics of the sub-basins, including the area, the environment and length of the waterways, and the characteristics of the river flow, and its sediment content. In the following, multivariate Linear Regression, multilevel prefabricated Neural Network (MLP) and radial function-based Neural Network (RBF) models are used to model Sediment Estimation. After estimating the model, the mean square error index (RMSE) was used to compare the models and select the best model. Evidence has shown that initially the MLPchr('39')s Neural Network model had the best estimate with the lowest error rate (90. 44) and then the RBF model (151. 44) among the three models. The Linear Regression model has the highest error rate because only linear relationships between variables are considered.

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APA: Copy

Abolfathi, Dariush, MADADI, AGHIL, & ASGHARI, SAYYAD. (2022). Modeling of River Sediment Estimation Using Artificial Neural Network Method (Case Study: Vanai River). JOURNAL OF GEOGRAPHICAL SCIENCES, 22(66 ), 41-56. SID. https://sid.ir/paper/961854/en

Vancouver: Copy

Abolfathi Dariush, MADADI AGHIL, ASGHARI SAYYAD. Modeling of River Sediment Estimation Using Artificial Neural Network Method (Case Study: Vanai River). JOURNAL OF GEOGRAPHICAL SCIENCES[Internet]. 2022;22(66 ):41-56. Available from: https://sid.ir/paper/961854/en

IEEE: Copy

Dariush Abolfathi, AGHIL MADADI, and SAYYAD ASGHARI, “Modeling of River Sediment Estimation Using Artificial Neural Network Method (Case Study: Vanai River),” JOURNAL OF GEOGRAPHICAL SCIENCES, vol. 22, no. 66 , pp. 41–56, 2022, [Online]. Available: https://sid.ir/paper/961854/en

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