Time - Delay Simulated Artificial Neural Network Models for Predicting Shelf Life of Processed Cheese

@article{Goyal2012TimeD,
  title={Time - Delay Simulated Artificial Neural Network Models for Predicting Shelf Life of Processed Cheese},
  author={Sumit Goyal and Gyanendra Kumar Goyal},
  journal={International Journal of Intelligent Systems and Applications},
  year={2012},
  volume={4},
  pages={30-37}
}
  • S. Goyal, G. K. Goyal
  • Published 2012
  • Computer Science
  • International Journal of Intelligent Systems and Applications
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 nash Sutcliffe coefficient were used for calculating the prediction capability of the developed models… Expand
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References

SHOWING 1-10 OF 26 REFERENCES
Simulated Neural Network Intelligent Computing Models for Predicting Shelf Life of Soft Cakes
This paper highlights the potential of simulated neural networks for predicting shelf life of soft cakes stored at 10 o C. Elman and self organizing simulated neural network models were developed.Expand
Radial Basis Artificial Neural Network Computer Engineering Methodology for Predicting Shelf Life of Brown Milk Cakes Decorated with Almonds
Brown milk cakes decorated with almonds were prepared and artificial neural network based radial basis models were developed to predict shelf life of these cakes. Nemours experiments were conductedExpand
A New Scientific Approach of Intelligent Artificial Neural Network Engineering for Predicting Shelf Life of Milky White Dessert Jeweled with Pistachio
This paper highlights the capability of artificial neural networks for predicting shelf life of milky white dessert jeweled with pista- chio. Linear layer (train) and generalized regression modelsExpand
Application of artificial neural engineering and regression models for forecasting shelf life of instant coffee drink
Coffee as beverage is prepared from the roasted seeds (beans) of the coffee plant. Coffee is the second most important product in the international market in terms of volume trade and the mostExpand
Study on Single and Double Hidden Layers of Cascade Artificial Neural Intelligence Neurocomputing Models for Predicting Sensory Quality of Roasted Coffee Flavoured Sterilized Drink
TLDR
The study revealed that more the number of neurons in single hidden layer, less the error for cascade neurocomputing models. Expand
Prediction of Extrudate Properties Using Artificial Neural Networks
Abstract A backpropagation artificial neural network (ANN) model was developed to predict the properties of extrudates generated by extrusion cooking of fish muscle-rice flour blend in a single screwExpand
Development of Intelligent Computing Expert System Models for Shelf Life Prediction of Soft Mouth Melting Milk Cakes
TLDR
It is concluded that intelligent computing expert system models are effective tool predicting the shelf life of soft mouth melting milk cakes. Expand
Central Nervous System Based Computing Models for Shelf Life Prediction of Soft Mouth Melting Milk Cakes
TLDR
The latency and potential of central nervous system based system intelligent computer engineering system for detecting shelf life of soft mouth melting milk cakes stored at 10 o C are presented. Expand
Use of neural networks and expert systems to control a gas/solid sorption chilling machine
TLDR
A new modelling approach is presented here to simulate the performance of gas/solid sorption chilling machine systems using neural networks to simulations of the dynamic performance of the chilling machine has proven to be difficult for standard computers when using deterministic models. Expand
Advanced Computing Research on Cascade Single and Double Hidden Layers for Detecting Shelf Life of Kalakand: An Artificial Neural Network Approach
Kalakand or Qalaqand is a popular Indian sweet made out of solidified, sweetened milk and cottage cheese. It owes it origin to the milk-rich Braj area of western Uttar Pradesh. It is a very popularExpand
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