Artificial neural network application in sediment prediction: a review

Nda, Muhammad and Adnan, Mohd Shalahuddin and Mohd Yussof, Mohd Azlan and Abdullahi Ahmad, Kabiru and Isah, Nuhu and Nda, Ramatu Muhammad (2020) Artificial neural network application in sediment prediction: a review. In: Water and Environmental Engineering. Penerbit UTHM, pp. 20-37. ISBN 978-967-2916-39-0

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Abstract

The development of an accurate sediment prediction model is a priority for all hydrological researchers. Several conventional approaches showed an inability to predict suspended sediment correctly. These approaches fall short in understanding the transport of sediments behaviour in rivers because of its complex, non-stationary, and non-linear nature. There have been important advances in the theoretical understanding of Artificial Neural Network (ANN) over the last few decades, as well as algorithmic techniques for their implementation and applications of the approach to hydrological and practical problems. ANN and other machine learning models have been used in predicting complex non-linear relationships and patterns of large input parameters to achieve the desired output. This chapter reviews several relevant works of literature on sediment transport prediction while focusing on a wide range of ANN applications. ANN sediment transport models have increasingly attracted several researchers over the past years. Therefore, the need to acquire in-depth knowledge about their theory and modelling approaches. Besides, this chapter provides an overview of the ANN approach and other emerging machine learning hybrid models, which have yielded satisfactory results. Also, provided in this review are several examples of successful applicability of ANN in sediment prediction.

Item Type:	Book Section
Uncontrolled Keywords:	Water; Environmental engineering; Government publications—Malaysia
Subjects:	T Technology > TD Environmental technology. Sanitary engineering
Divisions:	Faculty of Civil Engineering and Built Environment > Department of Civil Engineering : Water and Environmental Engineering
Depositing User:	Mrs. Siti Noraida Miskan
Date Deposited:	29 Nov 2021 03:18
Last Modified:	29 Nov 2021 03:18
URI:	http://eprints.uthm.edu.my/id/eprint/2711

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