Evaluation of Shelf Life of Processed Cheese by Implementing Neural Computing Models
نویسندگان
چکیده
— For predicting the shelf life of processed cheese stored at 7-8º C, Elman single and multilayer models were developed and compared. The input variables used for developing were applied in order to compare the prediction ability of the developed models. The Elman models got simulated very well and showed excellent agreement between the experimental data and the predicted values, suggesting that the Elman models can be used for predicting the shelf life of processed cheese.
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...
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 کاملShelf 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 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 کاملARPN Journal of Systems and Software::A Novel Method for Shelf Life Detection of Processed Cheese Using Cascade Single and Multi Layer Artificial Neural Network Computing Models
This paper presents the potential of Cascade Backpropagation algorithm based ANN models in detecting the shelf life of processed cheese stored at 30 C. Processed cheese is a dairy product made from ripened Cheddar cheese and sometimes a part of ripened cheese is replaced by fresh cheese; plus emulsifiers, extra salt, spices and food colorings. The cascade backpropagation algorithm (CBA) is the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- IJIMAI
دوره 1 شماره
صفحات -
تاریخ انتشار 2012