Use of different artificial neural networks to resolve binary blends of monocultivar Italian olive oils

The optimal model resulted in a validation Q2 in the range 0.91-0.96 (10 data sets), corresponding to an average prediction error of about 5-7.5%, which appeared significantly better than in the case of random or Kennard-Stone selection.