Artificial neural network modelling of the antioxidant activity and phenolic compounds of bananas submitted to different drying treatments

Neural network experiments showed that antioxidant activity and phenolic compounds can be predicted accurately from the input variables: banana variety, dryness state and type and order of extract. Drying state and extract order were found to have larger impact in the values of antioxidant activity and phenolic compounds.