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Growth and length–weight relationships of Pseudorasbora parva (Temminck & Schlegel, 1846) in Hirfanlı Dam Lake: Comparison with traditional and artificial neural networks approaches | ||
| Iranian Journal of Fisheries Sciences | ||
| مقاله 22، دوره 19، شماره 3، مرداد 2020، صفحه 1089-1110 اصل مقاله (580.77 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22092/ijfs.2018.119889. | ||
| نویسندگان | ||
| Semra BENZER* 1؛ Recep BENZER2 | ||
| 1Gazi University | ||
| 2National Defense University | ||
| چکیده | ||
| The present study was carried out to assess the population structure and growth with length weight relations, von Bertalanffy equations and artificial neural networks (ANNs) of topmouth gudgeon, between May 2015 and May 2016, in Hirfanlı Dam Lake. The age of topmouth gudgeon caught from Hirfanlı Dam Lake ranged between 1 to 5 years. The von Bertalanffy growth function growth coefficient k was 0.5 and asymptotic length L∞ was 91.3 mm fork length (FL). The weight-length relationship is given by the regression equation W = 0.01275334 × L3.0005 for all individual. Growth equations in length (mm) and weight (g) are: Lt = 91.3 [1–e–0.380 (t + 0.5)] and Wt = 10.36 [1–e–0.380 (t + 0.5)]3.0005 for all individual. Minimum and maximum size was 27 and 92 mm FL for all individuals. Here, we examine the growth properties (length and weight) of topmouth gudgeon by modern (artificial neural networks) and traditional approaches (Length weight Relations and von Bertalanffy growth model) in Hirfanlı Dam Lake. This study presents the first LWR, von Bertalanffy and ANNs references for this species in Hirfanlı Dam Lake. | ||
| کلیدواژه‌ها | ||
| Growth؛ Artificial Neural Networks؛ Length weight Relations؛ Topmouth Gudgeon | ||
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آمار تعداد مشاهده مقاله: 535 تعداد دریافت فایل اصل مقاله: 734 |
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