| Título: | Time-Delay Artificial Neural Network Computing Models for Predicting Shelf Life of Processed Cheese |
| Autores: |
Sumit Goyal; National Dairy Research Institute, Karnal Gyanendra Kumar Goyal; National Dairy Research Institute, Karnal |
| Fecha: | 2012-04-14 |
| Publicador: | BRAIN: Broad Research in Artificial Intelligence and Neuroscience |
| Fuente: |
 |
| Tipo: | Works in progress, Discussions |
| Tema: |
Artificial Intelligence Time – delay, ANN, Artificial Intelligence, Processed Cheese, Shelf Life, Prediction |
| Descripción: | 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. |
| Idioma: | Inglés |
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