loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Abdelazim M. Negm ; T. M. Owais ; M. M. Elfiky and M. H. Nassar

Affiliation: Faculty of Eng., Zagazig University, Egypt

Keyword(s): Sediment transport, Suspension sediment, Artificial neural networks, numerical modeling, River hydraulics, Nile River, Hydrodynamic modeling.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Communication and Software Technologies and Architectures ; Data Engineering ; Data Warehouses and Data Mining ; e-Business ; Enterprise Information Systems

Abstract: Artificial neural network (ANN) prediction models can be considered as an efficient tool in predictions once they are trained from examples or patterns. These types of ANN models need large amount of data which should be at hand before thinking to develop such models. In this paper, the capability of ANN model to predict suspended sediment in 2-D flow field is investigated. The data used for training the network are generated from a pre-verified 2-D hydrodynamic and a 2-D suspended sediment models which were recently developed by the authors. About two-thirds of the data are used for training the network while the rest of the data are used for validating and testing the developed ANN model. Field data measured by hydraulic research Institute are used to compare the results of the ANN model. The conjugate gradient learning algorithm is adopted. The results of the developed ANN model proved that the technique is reliable in such field compared to both the results of the previously de veloped models and the field data provided that the trained network is used to generate prediction within the range of training data. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.84.110.120

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
M. Negm, A.; M. Owais, T.; M. Elfiky, M. and H. Nassar, M. (2007). MODELLING OF SUSPENDED SEDIMENT - In Nile River using ANN. In Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT; ISBN 978-989-8111-07-4; ISSN 2184-2833, SciTePress, pages 209-214. DOI: 10.5220/0001346202090214

@conference{icsoft07,
author={Abdelazim {M. Negm}. and T. {M. Owais}. and M. {M. Elfiky}. and M. {H. Nassar}.},
title={MODELLING OF SUSPENDED SEDIMENT - In Nile River using ANN},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT},
year={2007},
pages={209-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001346202090214},
isbn={978-989-8111-07-4},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT
TI - MODELLING OF SUSPENDED SEDIMENT - In Nile River using ANN
SN - 978-989-8111-07-4
IS - 2184-2833
AU - M. Negm, A.
AU - M. Owais, T.
AU - M. Elfiky, M.
AU - H. Nassar, M.
PY - 2007
SP - 209
EP - 214
DO - 10.5220/0001346202090214
PB - SciTePress