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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Kaveh, Keivan; Bui, Minh Duc; Rutschmann, Peter 
Title:
Development of an Artificial-Neural-Network-based concept for hydro-morphodynamic modelling in rivers 
Pages contribution:
721-722 
Chapter contribution:
Session ST.5 New insights on sediment transport and on gravity driven granular flows 
Abstract:
A new modelling concept based on three ANN-based approximators has been proposed. The model system was tested for predicting evolution of a 3D isolated bump in a straight alluvial channel. Compared to a conventional numerical model, this new model showed good performance. 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Editor:
Aronne Armanini and Elena Nucci 
Book / Congress title:
New Challenges in hydraulic research and engineering. Proc. of the 5th IAHR-Europe Congress 
Organization:
University of Trento, Italy and International Association for Hydro-Environment Engineering and Research (IAHR), Madrid, Spain 
Date of congress:
12 - 14 June, 2018 
Publisher:
The International Association for Hydro-Environment Engineering and Research (IAHR) 
Publisher address:
Madrid, Spain 
Year:
2018 
E-ISBN:
978-981-11-2731-1 
Reviewed:
ja 
Language:
en 
Publication format:
WWW 
Format:
Text