<p>R2 was found to be 96.5 percent of the total variation as explained by sensory scores. Period<br> of storage (days) for which the processed cheese has been in the shelf can be determined based on<br> sensory score (Fig. 5).</p
This paper presents the potential of Cascade Backpropagation algorithm based ANN models in detecting...
The objective of this work was to evaluate the capability of artificial neural networks (ANN) to pre...
This paper highlights the significance of cascade single layer models for predicting the shelf life ...
Time-delay single and multi layer models were developed for predicting shelf life of processed chees...
<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...
Time–delay artificial neural network (ANN) single layer and multilayer artificial models were develo...
Cascade multilayer artificial neural network (ANN) models were developed for estimating the shelf li...
<div><i>Abstract</i></div><div><br></div><div>This paper presents the capability of Time–delay artif...
For predicting the shelf life of processed cheese stored at 7-8 C, Elman single and multilayer model...
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...
<p>The data consisted of 36 samples, which were divided into two subsets, i.e., 30 used for<br> trai...
Radial Basis (Fewer Neurons) and Multiple Linear Regression (MLR) models were developed and compared...
Feedforward multilayer models were developed for predicting shelf life of processed cheese stored at...
This paper presents the potential of Cascade Backpropagation algorithm based ANN models in detecting...
The objective of this work was to evaluate the capability of artificial neural networks (ANN) to pre...
This paper highlights the significance of cascade single layer models for predicting the shelf life ...
Time-delay single and multi layer models were developed for predicting shelf life of processed chees...
<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...
Time–delay artificial neural network (ANN) single layer and multilayer artificial models were develo...
Cascade multilayer artificial neural network (ANN) models were developed for estimating the shelf li...
<div><i>Abstract</i></div><div><br></div><div>This paper presents the capability of Time–delay artif...
For predicting the shelf life of processed cheese stored at 7-8 C, Elman single and multilayer model...
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...
<p>The data consisted of 36 samples, which were divided into two subsets, i.e., 30 used for<br> trai...
Radial Basis (Fewer Neurons) and Multiple Linear Regression (MLR) models were developed and compared...
Feedforward multilayer models were developed for predicting shelf life of processed cheese stored at...
This paper presents the potential of Cascade Backpropagation algorithm based ANN models in detecting...
The objective of this work was to evaluate the capability of artificial neural networks (ANN) to pre...
This paper highlights the significance of cascade single layer models for predicting the shelf life ...
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