Artificial neural networks model biometric features of sand smelt atherina boyeririsso, 1810 in iznik lake


BENZER S., Benzer R.

Fresenius Environmental Bulletin, vol.29, no.7, pp.5966-5973, 2020 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 29 Issue: 7
  • Publication Date: 2020
  • Journal Name: Fresenius Environmental Bulletin
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Chemical Abstracts Core, Communication Abstracts, Environment Index, Geobase, Greenfile, Metadex, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Page Numbers: pp.5966-5973
  • Gazi University Affiliated: Yes

Abstract

© 2020 Parlar Scientific Publications. All rights reserved.In this study was investigated some biometric properties of the sand smelt with ANN's, Atherina boy eri Risso, 1810, population in íznik Lake. Twenty-three morphometric characters of samples were measured. The fork length of individuals which were caught (TL) were between 6.20 and 10.40 cm, and their weight (W) were ranged between 1.70 and 7.20 g. The effect of Artificial Neural Networks was investigated in predicting the statistical of fishery industry. The present study provides the first information on the biometric properties of Atherina boyeri in íznik Lake by Artificial Neural Networks.