Abstract 4.pdf (35.98 kB)
Download fileApplication of artificial neural network in the prediction of scale dependency of dynamic effects in two-phase flow system
conference contribution
posted on 2014-08-21, 08:49 authored by Luqman K. Abidoye, Diganta DasDiganta DasApplication of artificial neural network in the prediction of scale dependency of dynamic effects in two-phase flow system
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Chemical Engineering
Published in
XX. International Conference on Computational Methods in Water Resources (CMWR 2014)Pages
00 - ?Citation
ABIDOYE, L.K. and DAS, D.B., 2014. Application of artificial neural network in the prediction of scale dependency of dynamic effects in two-phase flow system. IN: XX. International Conference on Computational Methods in Water Resources Book of Abstracts and List of Participants. Stuttgart, Computational Methods in Water Resources (CMWR 2014).Publisher
University of StuttgartVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2014Notes
This is a conference abstract accepted for the Computational Methods in Water Resources (CMWR2014) conference, University of Stuttgart, Germany on 9th -13th June, 2014. The complete abstract booklet is available at: http://www.cmwr14.de/images/bookofabstracts/CMWR14BookofAbstracts.pdfLanguage
- en
