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Cascade ANN and MLR Models for Predicting Shelf Life of MA Packed Paneer

S. Goyal, A. Chaudhary

Abstract


Cascade artificial neural network (ANN) and Multiple Linear Regression (MLR) models were developed and compared for predicting the shelf life of modified atmosphere (MA) packed paneer. The input parameters for developing ANN and MLR models were the data of the product pertaining to moisture, titratable acidity, free fatty acids and tyrosine, while overall acceptability was the output parameter. From the study, it was revealed that Cascade ANN model was superior over MLR model for predicting the shelf life of MA packed paneer.


Keywords


Cascade, MLR, Modified Atmosphere (MA), Paneer, ANN

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References


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