Artificial neural networks (ANN): prediction of sensory measurements from instrumental data
| dc.creator | Naiara Barbosa CARVALHO | |
| dc.creator | Valéria Paula Rodrigues MINIM | |
| dc.creator | Rita de Cássia dos Santos Navarro SILVA | |
| dc.creator | Suzana Maria DELLA LUCIA | |
| dc.creator | Luis Aantonio MINIM | |
| dc.date | 2013 | |
| dc.date.accessioned | 2026-07-07T04:21:09Z | |
| dc.description | The objective of this study was to predict by means of Artificial Neural Network (ANN), multilayer perceptrons, the texture attributes of light cheesecurds perceived by trained judges based on instrumental texture measurements. Inputs to the network were the instrumental texture measurements of light cheesecurd (imitative and fundamental parameters). Output variables were the sensory attributes consistency and spreadability. Nine light cheesecurd formulations composed of different combinations of fat and water were evaluated. The measurements obtained by the instrumental and sensory analyses of these formulations constituted the data set used for training and validation of the network. Network training was performed using a back-propagation algorithm. The network architecture selected was composed of 8-3-9-2 neurons in its layers, which quickly and accurately predicted the sensory texture attributes studied, showing a high correlation between the predicted and experimental values for the validation data set and excellent generalization ability, with a validation RMSE of 0.0506. | |
| dc.format | application/pdf | |
| dc.identifier | 0101-2061 | |
| dc.identifier | https://www.redalyc.org/articulo.oa?id=395940118018 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/458779 | |
| dc.language | en | |
| dc.publisher | Sociedade Brasileira de Ciência e Tecnologia de Alimentos | |
| dc.relation | http://www.redalyc.org/revista.oa?id=3959 | |
| dc.rights | Ciência e Tecnologia de Alimentos | |
| dc.source | Ciência e Tecnologia de Alimentos (Brasil) Num.4 Vol.33 | |
| dc.subject | Agrociencias | |
| dc.title | Artificial neural networks (ANN): prediction of sensory measurements from instrumental data | |
| dc.type | artículo científico |