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Performance of artificial neural networks and traditional methods in determining selected growth parameters of Alburnus sellal Heckel, 1843 Cover

Performance of artificial neural networks and traditional methods in determining selected growth parameters of Alburnus sellal Heckel, 1843

Oceanological and Hydrobiological Studies
Volume 53 (2024): Issue 2 (June 2024)
By: Ebru Ifakat Ozcan  
Open Access
|Jul 2024

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DOI: https://doi.org/10.26881/oahs-2024.2.06 | Journal eISSN: 1897-3191 | Journal ISSN: 1730-413X
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Language: English
Page range: 153 - 163
Submitted on: Jun 20, 2023
Accepted on: Nov 7, 2023
Published on: Jul 5, 2024
Published by: University of Gdańsk
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
artificial neural networks,
growth parameters,
MAPE (%),
Munzur River
Related subjects:
Chemistry,
Chemistry, other,
Geosciences,
Geosciences, other,
Life sciences,
Life sciences, other

© 2024 Ebru Ifakat Ozcan, published by University of Gdańsk
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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