EVALUATION OF GROWTH IN PIKE (Esox lucius L., 1758) USING TRADITIONAL METHODS AND ARTIFICIAL NEURAL NETWORKS

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Benzer S., Benzer R.

APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, cilt.14, sa.2, ss.543-554, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 14 Sayı: 2
  • Basım Tarihi: 2016
  • Doi Numarası: 10.15666/aeer/1402_543554
  • Dergi Adı: APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.543-554
  • Anahtar Kelimeler: growth, artificial neural networks, Esox lucius, von Bertalanffy, Mogan Lake, POPULATION, LINNAEUS, MODELS, LENGTH
  • Gazi Üniversitesi Adresli: Evet

Özet

The present study was performed to assess the population structure and growth of pike in Mogan Lake using length-weight relationships, von Bertalanffy equations and artificial neural networks between February 2013 and March 2014. The age of Esox lucius caught in Mogan Lake ranged between I to VII years. The fork length of the fish ranged from 27.5 cm to 70.0 cm, and the body weight of the fish ranged from 200 g to 2820 g. The von Bertalanffy growth lengths were 130.30 for females, 122.70 for males and 126.50 for all individuals. The von Bertalanffy growth weights were 18889 for females, 14881 for males and 16688 for all pike. The results obtained using the artificial neural networks and regression technique were compared to those obtained using the growth rate of the fish caught from the natural environment and von Bertalanffy growth model. Artificial neural networks are an alternative to von Bertalanffy growth models.