Sensorial qualities of fruit wines were compared by clustering due artificial neural networks. A Kohonen network has been used as a software tool in order to increase the human skills in this kind of application. Seven wine samples were used in this work, which the five samples were of Barbados cherry wine, one sample of peach wine and one sample of grape wine. 50 consumers chosen to perhaps had been used to obtain the sensorial data using a hedonic scale of 1-9 times. Sensorial values of flavor, aroma and appearance obtained of the hedonic dating were compared. Results showed that Kohonen network classified the Barbados cherry wines in distinct group, for frequency among yours sensorial responses. Kohonen network results were similar or be...
This paper reports on a sensor array able to distinguish tastes and used to classify red wines. The ...
The aim of this work is to propose a metrological system for the definition of the Extra Virgin Oliv...
Self-organizing maps generated by Kohonen neural networks provide a method to transform multidimensi...
This paper presents an approach of artificial neural networks to predict the sensorial qualities of ...
Wine is an agricultural product with very high commerce price variation, which is highly affected by...
The assessment of wine taste quality is a key factor for successful sales in the wine industry, wher...
The determination of the sensorial quality of wines is of great interest for wine consumers and prod...
The determination of the sensorial quality of wines is of great interest for wine consumers and prod...
Computational neural network methods are increasingly being used for research-oriented data mining t...
WOS: 000315671800001PubMed ID: 23391010In recent years, neural networks have turned out as a powerfu...
The human brain is able to compute information from very complex olfactorical impressions. The speci...
A colorimetric sensor array was developed to characterize and quantify the taste of white wines. A c...
Important wine quality traits such as sensory profile and color are the product of complex interacti...
Wine's high economic value requires the development of methods to assess its quality. Anyway, winema...
The data used in this paper is an open source data, that was collected in Portugal over a three year...
This paper reports on a sensor array able to distinguish tastes and used to classify red wines. The ...
The aim of this work is to propose a metrological system for the definition of the Extra Virgin Oliv...
Self-organizing maps generated by Kohonen neural networks provide a method to transform multidimensi...
This paper presents an approach of artificial neural networks to predict the sensorial qualities of ...
Wine is an agricultural product with very high commerce price variation, which is highly affected by...
The assessment of wine taste quality is a key factor for successful sales in the wine industry, wher...
The determination of the sensorial quality of wines is of great interest for wine consumers and prod...
The determination of the sensorial quality of wines is of great interest for wine consumers and prod...
Computational neural network methods are increasingly being used for research-oriented data mining t...
WOS: 000315671800001PubMed ID: 23391010In recent years, neural networks have turned out as a powerfu...
The human brain is able to compute information from very complex olfactorical impressions. The speci...
A colorimetric sensor array was developed to characterize and quantify the taste of white wines. A c...
Important wine quality traits such as sensory profile and color are the product of complex interacti...
Wine's high economic value requires the development of methods to assess its quality. Anyway, winema...
The data used in this paper is an open source data, that was collected in Portugal over a three year...
This paper reports on a sensor array able to distinguish tastes and used to classify red wines. The ...
The aim of this work is to propose a metrological system for the definition of the Extra Virgin Oliv...
Self-organizing maps generated by Kohonen neural networks provide a method to transform multidimensi...