Application of classical and novel integrated machine learning models to predict sediment discharge during free-flow flushing

In this study, the capabilities of classical and novel integrated machine learning models were investigated to predict sediment discharge (Q(s)) in free-flow flushing. Developed models include Multivariate Linear Regression (MLR), Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference Syste...

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Detalles Bibliográficos
Autores principales: Javadi, Fahime, Qaderi, Kourosh, Ahmadi, Mohammad Mehdi, Rahimpour, Majid, Madadi, Mohamad Reza, Mahdavi-Meymand, Amin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653452/
https://www.ncbi.nlm.nih.gov/pubmed/36371476
http://dx.doi.org/10.1038/s41598-022-23781-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653452/
https://www.ncbi.nlm.nih.gov/pubmed/36371476
http://dx.doi.org/10.1038/s41598-022-23781-x

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