Estimation of total sediment load concentration obtained by experimental study using artificial neural networks
- Author
- DOGAN, Emrah1 ; YÜKSEL, Ibrahim2 ; KISI, Ozgür3
[1] Faculty of Engineering-Hydraulics Division, Civil Engineering Department, Sakarya University, Sakarya 54187, Turkey
[2] Technical Education Faculty, Construction Department, Sakarya University, Sakarya 54187, Turkey
[3] Faculty of Engineering-Hydraulics Division, Civil Engineering Department, Erciyes University, Kayseri 38039, Turkey - Source
Environmental fluid mechanics (2001). 2007, Vol 7, Num 4, pp 271-288, 18 p ; ref : 29 ref
- ISSN
- 1567-7419
- Scientific domain
- Geology; Climatology, meteorology; Oceanography; Pollution
- Publisher
- Springer, Dordrecht
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Artificial neural networks Sediment concentration Sediment transport equations
- Keyword (fr)
- Alluvion Concentration Etude expérimentale Matière en suspension Réseau neuronal Transport fluviatile Transport sédiment
- Keyword (en)
- alluvium concentration experimental studies suspended materials neural networks stream transport sediment transport
- Keyword (es)
- Aluvión Concentración Materia en suspensión Red neuronal Transporte fluvial
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01P Surficial geology / 001E01P01 Geomorphology, landform evolution
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01P Surficial geology / 001E01P02 Marine and continental quaternary
- Discipline
- Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18974275
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/s10652-007-9025-8 
https://dx.doi.org/10.1007/s10652-007-9025-8
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