Development of an Artificial-Neural-Network-based concept for hydro-morphodynamic modelling in rivers
Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Kaveh, Keivan; Bui, Minh Duc; Rutschmann, Peter
Seitenangaben Beitrag:
721-722
Kapitel Beitrag:
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-Dezimalklassifikation:
620 Ingenieurwissenschaften
Herausgeber:
Aronne Armanini and Elena Nucci
Kongress- / Buchtitel:
New Challenges in hydraulic research and engineering. Proc. of the 5th IAHR-Europe Congress
Ausrichter der Konferenz:
University of Trento, Italy and International Association for Hydro-Environment Engineering and Research (IAHR), Madrid, Spain
Datum der Konferenz:
12 - 14 June, 2018
Verlag / Institution:
The International Association for Hydro-Environment Engineering and Research (IAHR)