Comparison of the efficacy of particle swarm optimization and stochastic gradient descent algorithms on multi-layer perceptron model to estimate longitudinal dispersion coefficients in natural streams

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Comparison of the efficacy of particle swarm optimization and stochastic gradient descent algorithms on multi-layer perceptron model to estimate longitudinal dispersion coefficients in natural streams

Accurate estimation of the longitudinal dispersion coefficient (LDC) is essential for modeling the pollution status in rivers. This research investigates the capabilities of machine-learning methods such as multi-layer perceptron (MLP), multi-layer perceptron trained with particle swarm optimization...

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Bibliographic Details
Published in:	Engineering Applications of Computational Fluid Mechanics
Main Author:	Hai T.; Li H.; Band S.S.; Shadkani S.; Samadianfard S.; Hashemi S.; Chau K.-W.; Mousavi A.
Format:	Article
Language:	English
Published:	Taylor and Francis Ltd. 2022
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142253156&doi=10.1080%2f19942060.2022.2141896&partnerID=40&md5=45425c497c6bee866ef082e3eb8d5a4a

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