POPULATION DYNAMICS FORECASTING USING ARTIFICIAL NEURAL NETWORKS

Benzer R.

FRESENIUS ENVIRONMENTAL BULLETIN, cilt.24, sa.2, ss.460-466, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 2
  • Basım Tarihi: 2015
  • Dergi Adı: FRESENIUS ENVIRONMENTAL BULLETIN
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.460-466
  • Anahtar Kelimeler: Artificial neural networks (ANNs), feedforward algorithm, von Bertalanffy, growth, TIME-SERIES, REGRESSION-MODELS, GROWTH, PREDICTION
  • Gazi Üniversitesi Adresli: Evet

Özet

This study is about using artificial neural networks for population growth forecasting. The results obtained by artificial neural networks and regression technique are compared to those obtained by growth rate of the fishes caught from the natural ecology and von Bertalanffy growth model. It is shown that artificial neural network is a good tool for forecasting of growth model.