Growth Properties of Pseudorasbora parva in Süreyyabey Reservoir: Traditional and Artificial Intelligent Methods-Reference-Cited by-同舟云学术

Growth Properties of Pseudorasbora parva in Süreyyabey Reservoir: Traditional and Artificial Intelligent Methods

Published:2020-01-14 Issue:1 Volume:36 Page:149-156
ISSN:0212-5919
Container-title:Thalassas: An International Journal of Marine Sciences
language:en
Short-container-title:Thalassas

Author:

Benzer Semra^ORCID,Benzer Recep^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Aquatic Science,Oceanography

Link

http://link.springer.com/content/pdf/10.1007/s41208-020-00192-1.pdf

Reference37 articles.

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3. Benzer R (2014) Population dynamics forecasting using artificial neural networks. Fresenius Environ Bull 12:1–15

4. Benzer S, Benzer R (2018) New perspectives for predicting growth properties of crayfish (Astacus leptodactylus Eschscholtz, 1823) in Uluabat Lake. Pakistan J Zool 50(1):35–35

5. Benzer R, Benzer S (2019) Growth and length–weight relationships of Pseudorasbor aparva (Temminck and Schlegel, 1846) in Hirfanlı dam Lake: comparison with traditional and artificial neural networks approaches. Iran J Fish Sci. https://doi.org/10.22092/ijfs.2018.119889

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