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 high coefficient of determination and nash- sutcliffo coefficient, thus suggesting that the developed models are good for predicting the shelf life of processed cheese
This paper presents the capability of simulated neural network (SNN) models for predicting the shelf...
This paper highlights the significance of cascade single layer models for predicting the shelf life ...
<p>R2 was found to be 96.5 percent of the total variation as explained by sensory scores. Period<br>...
Cascade multilayer artificial neural network (ANN) models were developed for estimating the shelf li...
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...
Time-delay single and multi layer models were developed for predicting shelf life of processed chees...
For predicting the shelf life of processed cheese stored at 7-8 C, Elman single and multilayer model...
Radial Basis (Fewer Neurons) and Multiple Linear Regression (MLR) models were developed and compared...
<div><i>Abstract</i></div><div><br></div><div>This paper presents the capability of Time–delay artif...
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...
<p>TDNN models with single and multi layers were developed taking soluble nitrogen, pH,<br> standard...
Feedforward multilayer models were developed for predicting shelf life of processed cheese stored at...
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...
This paper highlights the significance of cascade single layer models for predicting the shelf life ...
<p>R2 was found to be 96.5 percent of the total variation as explained by sensory scores. Period<br>...
Cascade multilayer artificial neural network (ANN) models were developed for estimating the shelf li...
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...
Time-delay single and multi layer models were developed for predicting shelf life of processed chees...
For predicting the shelf life of processed cheese stored at 7-8 C, Elman single and multilayer model...
Radial Basis (Fewer Neurons) and Multiple Linear Regression (MLR) models were developed and compared...
<div><i>Abstract</i></div><div><br></div><div>This paper presents the capability of Time–delay artif...
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...
<p>TDNN models with single and multi layers were developed taking soluble nitrogen, pH,<br> standard...
Feedforward multilayer models were developed for predicting shelf life of processed cheese stored at...
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...
This paper highlights the significance of cascade single layer models for predicting the shelf life ...
<p>R2 was found to be 96.5 percent of the total variation as explained by sensory scores. Period<br>...