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Growth parameters with traditional and artificial neural networks methods of big-scale sand smelt (Atherina boyeri Risso, 1810).
- Source :
- Ege Journal of Fisheries & Aquatic Sciences (EgeJFAS) / Su Ürünleri Dergisi; 2023, Vol. 40 Issue 2, p96-102, 7p
- Publication Year :
- 2023
-
Abstract
- <i>Copyright of Ege Journal of Fisheries & Aquatic Sciences (EgeJFAS) / Su Ürünleri Dergisi is the property of Ege Journal of Fisheries & Aquatic Sciences (EgeJFAS) / Su Urunleri Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
- Subjects :
- ARTIFICIAL neural networks
SAND
SMELL
Subjects
Details
- Language :
- English
- ISSN :
- 13001590
- Volume :
- 40
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Ege Journal of Fisheries & Aquatic Sciences (EgeJFAS) / Su Ürünleri Dergisi
- Publication Type :
- Academic Journal
- Accession number :
- 164883228
- Full Text :
- https://doi.org/10.12714/egejfas.40.2.02