Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/5078
Title: Determination of carried suspended sediment concentration and amount by artificial neural networks
Authors: Firat, M.
Güngör, M.
Keywords: Feed forward neural network method
Sediment measurements
Soil development
Suspended sediments
Artificial intelligence
Calculations
Civil engineering
Computer applications
Erosion
Expert systems
Problem solving
Sedimentation
Water resources
Neural networks
Abstract: Computation on Civil Engineering has concentrated primarily on artificial intelligence applications in the past few years. These applications generally involve expert systems. This article deals Neural Networks and applications were presented. It quickly gives results In test phase in short time. It is a preferable method among the other approaching methods. In Turkey, sedimentation which is the natural result of erosion occurring by different factors is known having an adverse effect on development of soil and water resources. In this study, the suspended sediment amount carried by stream is determined by the feed forward neural network method. The training sets for the problem were generated through sediment measurements which have been performed by EIE.
URI: https://hdl.handle.net/11499/5078
ISSN: 1300-3453
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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