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...
| Published in: | Engineering Applications of Computational Fluid Mechanics |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Taylor and Francis Ltd.
2022
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142253156&doi=10.1080%2f19942060.2022.2141896&partnerID=40&md5=45425c497c6bee866ef082e3eb8d5a4a |