<div><i>Abstract</i></div><div><br></div><div>This paper presents the capability of Time–delay artificial neural network models for predicting shelf life of processed cheese. Datasets were divided into two subsets (30 for training and 6 for validation). Models with single and multi layers were developed and compared with each other. Mean Square Error, Root Mean Square Error, Coefficient of Determination and Nash - Sutcliffo Coefficient were used as performance evaluators, Time- delay model predicted the shelf life of processed cheese as 28.25 days, which is very close to experimental shelf life of 30 days.</div><div><br></div><div><b>Find more at:</b></div><div><b>https://www.edusoft.ro/brain/index.php/brain/article/view/307</b><br></div
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This paper presents the capability of simulated neural network (SNN) models for predicting the shelf...
Time-delay single and multi layer models were developed for predicting shelf life of processed chees...
Cascade multilayer artificial neural network (ANN) models were developed for estimating the shelf li...
Time–delay artificial neural network (ANN) single layer and multilayer artificial models were develo...
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This paper highlights the significance of cascade single layer models for predicting the shelf life ...
The objective of this work was to evaluate the capability of artificial neural networks (ANN) to pre...
This paper presents the capability of simulated neural network (SNN) models for predicting the shelf...
Time-delay single and multi layer models were developed for predicting shelf life of processed chees...
Cascade multilayer artificial neural network (ANN) models were developed for estimating the shelf li...
Time–delay artificial neural network (ANN) single layer and multilayer artificial models were develo...
Abstract—The purpose of this study is to develop artificial neural network (ANN) models for predicti...
For predicting the shelf life of processed cheese stored at 7-8º C, Elman single and multilayer mode...
For predicting the shelf life of processed cheese stored at 7-8 C, Elman single and multilayer model...
<p>TDNN models with single and multi layers were developed taking soluble nitrogen, pH,<br> standard...
This paper presents the potential of Cascade Backpropagation algorithm based ANN models in detecting...
<p>TDNN models with single and multi layers were developed taking soluble nitrogen, pH,<br> standard...
Radial Basis (Fewer Neurons) and Multiple Linear Regression (MLR) models were developed and compared...
<p>R2 was found to be 96.5 percent of the total variation as explained by sensory scores. Period<br>...
<p>The Neural Network Toolbox under MATLAB software was used for developing the TDNN<br> models. Tra...
This paper highlights the significance of cascade single layer models for predicting the shelf life ...
The objective of this work was to evaluate the capability of artificial neural networks (ANN) to pre...
This paper presents the capability of simulated neural network (SNN) models for predicting the shelf...