Comparison of adaptive neuro-fuzzy inference system and artificial neural networks for estimation of oxidation parameters of sunflower oil added with some natural byproduct extracts.

KARAMAN S., OZTURK I., YALCIN H., KAYACIER A., Sagdic O.

Journal of the science of food and agriculture, cilt.92, ss.49-58, 2012 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 92
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1002/jsfa.4540
  • Dergi Adı: Journal of the science of food and agriculture
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.49-58
  • Anahtar Kelimeler: refined sunflower oil, byproduct, oxidation, antioxidant, modeling, ANFIS, ANN, RADICAL SCAVENGING ACTIVITY, ANTIOXIDANT ACTIVITY, PEEL EXTRACT, POLYPHENOLIC CONTENT, CITRUS PEEL, PREDICTION, VISCOSITY, PULP, FOOD
  • Yıldız Teknik Üniversitesi Adresli: Evet