The model building of whey protein hydrolyzate by alcalase based on artificial neural network

The whey protein hydrolyzate with high value bioacailability, the degree of hydrolysis ( DH%) is an important indicator to evaluate the hydrolysate.An artificial neural network ( ANN) model was used to predict whey protein hydrolysis process.Analyses performed on a nftool in the nnet kit of Matlab.15 hidden neurons were set up, and the Levenberg-Marquardt was chosen for training.The results showed the error between test value and output value was slight, fitting regression were overall R2= 0.97995, the test set R2= 0.96239, this indicated that the effect and predictive ability of the model was good, error between experimental and calculated was less 3%, this model had a high predictive ability and precision.