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Complementary Modeling Approach for Estimating Sedimentation and Hydraulic Flushing Parameters Using Artificial Neural Networks and RESCON2 Model

Crossref DOI link: https://doi.org/10.1007/s12205-021-1877-9

Published Print: 2021-10

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Idrees, Muhammad Bilal https://orcid.org/0000-0002-0917-5478
Lee, Jin-Young

Kim, Dongkyun https://orcid.org/0000-0002-4222-7444
Kim, Tae-Woong https://orcid.org/0000-0002-1793-2483
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Text and Data Mining valid from 2021-10-01

Text and Data Mining valid from 2021-10-01

Version of Record valid from 2024-08-20
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This article is maintained by: Elsevier

Article Title: Complementary Modeling Approach for Estimating Sedimentation and Hydraulic Flushing Parameters Using Artificial Neural Networks and RESCON2 Model

Journal Title: KSCE Journal of Civil Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s12205-021-1877-9

Content Type: article

Copyright: Copyright © 2021 © Korean Society of Civil Engineers 2021 published by Elsevier inc. Published by Elsevier Inc.