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Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Kaveh, Keivan; Bui, Minh Duc; Rutschmann, Peter
Titel:
Development of an Artificial-Neural-Network-based concept for hydro-morphodynamic modelling in rivers
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)
Verlagsort:
Madrid, Spain
Jahr:
2018
E-ISBN:
978-981-11-2731-1
Reviewed:
ja
Sprache:
en
Erscheinungsform:
WWW
WWW:
http://event.unitn.it/iahr2018
Copyright Informationen:
Copyright © 2018 5th IAHR Europe Congress Organizers. All rights reserved.
Format:
Text
 BibTeX