2021
DOI: 10.1016/j.flowmeasinst.2021.101889
|View full text |Cite
|
Sign up to set email alerts
|

Prediction of the discharge of side weir in the converge channels using artificial neural networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(2 citation statements)
references
References 37 publications
0
2
0
Order By: Relevance
“…Moreover, despite the high impact of the CSOs in terms of microplastic pollution, the microplastic dynamics along sewer side weirs is a topic not yet discussed in the literature, while the hydraulics of side weirs were also widely investigated in recent years [31][32][33][34][35][36].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, despite the high impact of the CSOs in terms of microplastic pollution, the microplastic dynamics along sewer side weirs is a topic not yet discussed in the literature, while the hydraulics of side weirs were also widely investigated in recent years [31][32][33][34][35][36].…”
Section: Introductionmentioning
confidence: 99%
“…According to recent experiments, neural networks present predictable results in water resources hydraulic structures. Hydrological factors include rainfallrunoff modeling, flow estimates, expected reservoir inflow, suspended sediment load estimation, discharge coefficient, and reservoir performance [26][27][28][29].…”
mentioning
confidence: 99%