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- MakaleAçık Erişim2025Scopus SJRQ4Comparison between traditional models and artificial neural networks as estimators of the growth of the Tigris scraper Capoeta umbla (Teleostei: Cyprinidae) in the Munzur River, Turkey; [Comparación entre modelos tradicionales y redes neuronales artificiales como estimadores del crecimiento del raspador del Tigris Capoeta umbla (Teleostei: Cyprinidae) en el río Munzur, Turquía]
Ozcan, Ebru Ifakat; Serdar, Osman
In this study, a comparison of traditional growth methods (lengthweight relationships and von Bertalanffy growth function) with artificial neural networks in growth models was carried out in the growth of 783 specimens of Capoeta umbla from the Munzur River, Turkey from September 2019 to May 2021. The lengthweight relationships of C. umbla W = 0.0085L3.013 R2=0.943 was determined for all individuals. The ages of the specimens were from 0 to 11 years old. The von Bertalanffy growth function was Lt = 46.15 [1-e-0.139 (t + 2.57)] and Wt = 856.32 [1-e-0.139 (t + 2.57)]3.013 for all individuals. Ф’ value was 2.471 all individuals. The training stopped and the best validation performance was fixed at 8.1473 × 10-5 at epoch 42. The validation checks were reached as 6, at epoch 48 and the gradient = 5.6566 × 10-5, at epoch 48. The target output R value was 0.98584 for training, 0.98969 for validation, 0.98757 for testing and 0.9868 for all. The calculated MAPE values were 0.140 and 0.578 for artificial neural networks, 1.168 and 2.726 for length–weight relationships, 5.721 and 4.013 for von Bertalanffy growth function, respectively. The calculated SSE values for length and weight were 0.0128 and 30.864 for artificial neural networks, 1.3985 and 350.786 for length–weight relationships. The results of the present show that artificial neural networks can be superior estimators than length–weight relationships and von Bertalanffy growth function. Therefore, artificial neural networks models are an effective tool to describe body weight and length in fish.
- MakaleAçık Erişim2019Age and some growth parameters of Squalius cephalus (Linnaeus, 1758) inhabiting Karasu River (East Anatolia, Turkey)
Özcan, Ebru Ifakat; Serdar, Osman
The present study was carried out concerns a research of the age determination and some growth parameters of chub, Squalius cephalus (Linnaeus, 1758) living in 14 different station from Karasu River (East Anatolia, Turkey). For this purpose, a total of 196 fish specimen (100 females and 96 males) of S.cephalus were captured between 2014 and 2016 by electroshocker. Female/male ratio was 1/0.96. Minimum-maximum length and weight of captured fishes were determined as 7.6-23.9 cm and 4.8-198.2 g, respectively. The age groups were determined between 0 and 6. The parameters of von Bertalanffy growth function estimated as L-infinity=31.98 cm, k=0.136 year(-1), t(0)=-1.40 year for all individuals. The growth performance index (phi>) value was computed as 2.143. The length and weight relationships W=0.0060L(3.27) (R-2=0.98) for all individuals. Significant statistical differences in condition factors between age groups and sexes were not found (P > 0.05, t-test).
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