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, vol.92, pp.49-58, 2012 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 92
  • Publication Date: 2012
  • Doi Number: 10.1002/jsfa.4540
  • Journal Name: Journal of the science of food and agriculture
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.49-58
  • Keywords: 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 Technical University Affiliated: Yes