Search results for "Hybrid learning algorithm"

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Oxidative stability of virgin olive oil: evaluation and prediction with an adaptive neuro-fuzzy inference system (ANFIS).

2019

Background An adaptive neuro-fuzzy inference system (ANFIS) was employed to predict the oxidative stability of virgin olive oil (VOO) during storage as a function of time, storage temperature, total polyphenol, α-tocopherol, fatty acid profile, ultraviolet (UV) extinction coefficient (K268 ), and diacylglycerols (DAGs). Results The mean total quantities of polyphenols and DAGs were 1.1 and 1.9 times lower in VOOs stored at 25 °C than in the initial samples, and the mean total quantities of polyphenols and DAGs were 1.3 and 2.26 times lower in VOOs stored at 37 °C than in the initial samples, respectively. In a single sample, α-tocopherol was reduced by between 0.52 and 0.91 times during sto…

030309 nutrition & dieteticsInference systemalpha-TocopherolSingle sampleStability (probability)Diglycerides03 medical and health sciences0404 agricultural biotechnologyFood scienceOlive OilMathematics0303 health sciencesAdaptive neuro fuzzy inference systemNutrition and DieteticsQuality assessmentFatty AcidsTemperaturePolyphenols04 agricultural and veterinary sciencesModels Theoretical040401 food scienceFood StorageNonlinear modelAgronomy and Crop ScienceHybrid learning algorithmOxidation-ReductionFood ScienceBiotechnologyOlive oilJournal of the science of food and agricultureREFERENCES
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