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Comparing Artificial Neural Networks and Regression-based Methods for Modeling Daily Dissolved Oxygen Concentration: A Study Based on Long-term Monitored Data

Crossref DOI link: https://doi.org/10.1007/s12205-024-2613-z

Published Print: 2024

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

Authors

Nacar, Sinan https://orcid.org/0000-0003-2497-5032
Mete, Betul https://orcid.org/0000-0002-3689-6430
Bayram, Adem https://orcid.org/0000-0003-4359-9183
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Text and Data Mining valid from 2024-01-01

Text and Data Mining valid from 2024-01-01

Version of Record valid from 2025-01-13
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This article is maintained by: Elsevier

Article Title: Comparing Artificial Neural Networks and Regression-based Methods for Modeling Daily Dissolved Oxygen Concentration: A Study Based on Long-term Monitored Data

Journal Title: KSCE Journal of Civil Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s12205-024-2613-z

Content Type: article

Copyright: Copyright © 2024 © Korean Society of Civil Engineers 2024 published by Elsevier inc. Published by Elsevier Inc.

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