Alternative Approaches for Growth Models: Artificial Neural Networks

Benzer R., BENZER S.

26th IEEE Signal Processing and Communications Applications Conference (SIU), İzmir, Türkiye, 2 - 05 Mayıs 2018 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2018.8404657
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Gazi Üniversitesi Adresli: Evet

Özet

In this study; it was examined the growth properties (length and weight) of fish by modern (artificial neural networks) and traditional approaches (Length Weight Relationship). ANNs were considered to be an option in the evaluation of growth properties. The potential use of accurate forecasts in decision making and fisheries management are supported directly by the findings of the present study.