Estimating Processed Cheese Shelf Life with Artificial Neural Networks
نویسندگان
چکیده
منابع مشابه
Shelf Life Estimation of Processed Cheese by Artificial Neural Network Expert Systems
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...
متن کاملPotential of artificial neural network technology for predicting shelf life of processed cheese
Radial basis ( fewer neurons) artificial neural network (ANN) models were developed for predicting the shelf life of processed cheese stored at 7-8o C. Mean square error, root mean square error, coefficient of determination and nash sutcliffo coefficient were applied in order to compare the prediction ability of the developed models. Soluble nitrogen, pH; standard plate count, yeast & mould cou...
متن کاملIntelligent Artificial Neural Network Computing Techniques for Shelf Life Determination of Processed Cheese
In this study feedforward and competitive artificial neural network models were developed for predicting shelf life of processed cheese stored at 30 C. Processed cheese is a food product generally made from Cheddar cheese. Processed cheese has several advantages over unprocessed cheese, such as extended shelf-life, resistance to separation when cooked, and uniformity of product. Input parameter...
متن کاملArtificial 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...
متن کاملTime – Delay Simulated Artificial Neural Network Models for Predicting Shelf Life of Processed Cheese
This paper highlights the significance of Time-Delay ANN models for predicting shelf life of processed cheese stored at 7-8 o C. Bayesian regularization algorithm was selected as training function. Number of neurons in single and multiple hidden layers varied from 1 to 20. The network was trained with up to 100 epochs. Mean square error, root mean square error, coefficient of determination and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IAES International Journal of Artificial Intelligence (IJ-AI)
سال: 2012
ISSN: 2252-8938
DOI: 10.11591/ij-ai.v1i1.336