Model
validation is done by comparing experimental data and
modeling data following to the best fit criteria, a model error
such Prediction error (FPE), Akaike Information Criterion
(AIC), and model order. The model with the most accuracy,
lowest error, least model order and reasonable model
parameters is selected.