Smart Artificial Intelligence Computerized Models for Shelf Life Prediction of Processed Cheese
نویسندگان
چکیده
منابع مشابه
Artificial Neural Network Simulated Elman Models for Predicting Shelf Life of Processed Cheese
Elman artificial neural network models with single and multilayer for predicting shelf life of processed cheese stored at 7-8oC were developed. Input parameters were: Body & texture, aroma & flavour, moisture, and free fatty acid, while sensory score was output parameter. Bayesian regularization was training algorithm for the models. The network was trained up to 100 epochs, and neurons in each...
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Time–delay artificial neural network (ANN) single layer and multilayer artificial models were developed for predicting the shelf life of processed cheese stored at 7-8o C. Soluble nitrogen, pH; standard plate count, yeast & mould count, and spore count were input variables, and sensory score was output variable. The results showed excellent agreement between training and validation data with hi...
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ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2012
ISSN: 2227-524X
DOI: 10.14419/ijet.v1i3.201