Matches in SemOpenAlex for { <https://semopenalex.org/work/W2228562085> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2228562085 endingPage "4054" @default.
- W2228562085 startingPage "4049" @default.
- W2228562085 abstract "Abstract — Results of Chilean wine classification based on the information provided by an electronic nose are reported in this paper. The classification scheme consists of two parts; in the first stage, Principal Component Analysis is used as feature extraction method to reduce the dimensionality of the original information. Then, Radial Basis Functions Neural Networks is used as pattern recognition technique to perform the classification. The objective of this study is to classify different Cabernet Sauvignon, Merlot and Carmenere wine samples from different years, valleys and vineyards of Chile. Keywords — Feature extraction techniques, Pattern recognition techniques, Principal component analysis, Radial basis functions neural networks, Wine classification. I. I NTRODUCTION URING the last decade several papers have been written concerning wine classification using information supplied by an electronic nose. In [1] an aromatic classification of three wines of the same variety but different years (1995, 1996 and 1997) is presented. The input data for classification is obtained from an electronic nose [2] based on six sensors of conducting polymers. For classification purposes a Multilayer Perceptron (MLP) trained with the backpropagation algorithm (BP) [3] and a Time Delay Neural Networks (TDNN) trained with the Levenberg-Marquadt algorithm [3] were used. In [4] wine classification is done using a NN with data provided by an electronic nose built by the authors using sensor commercially available. These sensors are of tin oxide and use the principle of resistance variations due to the adsorption of gas molecules on its surface. Recently, in [5] an electronic nose based on metal oxide semiconductor thin-film sensors has been used to characterize and classify four types of Spanish red wines of the same variety of grapes. Principal component analysis (PCA) and probabilistic neuronal network (PNN) were used obtaining good results. In this paper a wine classification methodology based on neural techniques is proposed, using as input data gas" @default.
- W2228562085 created "2016-06-24" @default.
- W2228562085 creator A5036650878 @default.
- W2228562085 creator A5059665731 @default.
- W2228562085 creator A5064595532 @default.
- W2228562085 creator A5074807092 @default.
- W2228562085 creator A5076852381 @default.
- W2228562085 date "2007-12-28" @default.
- W2228562085 modified "2023-09-24" @default.
- W2228562085 title "Chilean Wines Classification based only on Aroma Information" @default.
- W2228562085 cites W1554663460 @default.
- W2228562085 cites W1987852761 @default.
- W2228562085 cites W2051968241 @default.
- W2228562085 cites W2071396781 @default.
- W2228562085 cites W2117812871 @default.
- W2228562085 cites W2124776405 @default.
- W2228562085 cites W2125170453 @default.
- W2228562085 cites W2136246403 @default.
- W2228562085 cites W2143134227 @default.
- W2228562085 cites W9210882 @default.
- W2228562085 hasPublicationYear "2007" @default.
- W2228562085 type Work @default.
- W2228562085 sameAs 2228562085 @default.
- W2228562085 citedByCount "1" @default.
- W2228562085 crossrefType "journal-article" @default.
- W2228562085 hasAuthorship W2228562085A5036650878 @default.
- W2228562085 hasAuthorship W2228562085A5059665731 @default.
- W2228562085 hasAuthorship W2228562085A5064595532 @default.
- W2228562085 hasAuthorship W2228562085A5074807092 @default.
- W2228562085 hasAuthorship W2228562085A5076852381 @default.
- W2228562085 hasConcept C138885662 @default.
- W2228562085 hasConcept C153180895 @default.
- W2228562085 hasConcept C154945302 @default.
- W2228562085 hasConcept C155032097 @default.
- W2228562085 hasConcept C179717631 @default.
- W2228562085 hasConcept C185592680 @default.
- W2228562085 hasConcept C23895516 @default.
- W2228562085 hasConcept C27438332 @default.
- W2228562085 hasConcept C2776401178 @default.
- W2228562085 hasConcept C31903555 @default.
- W2228562085 hasConcept C41008148 @default.
- W2228562085 hasConcept C41895202 @default.
- W2228562085 hasConcept C50644808 @default.
- W2228562085 hasConcept C52622490 @default.
- W2228562085 hasConcept C55952523 @default.
- W2228562085 hasConceptScore W2228562085C138885662 @default.
- W2228562085 hasConceptScore W2228562085C153180895 @default.
- W2228562085 hasConceptScore W2228562085C154945302 @default.
- W2228562085 hasConceptScore W2228562085C155032097 @default.
- W2228562085 hasConceptScore W2228562085C179717631 @default.
- W2228562085 hasConceptScore W2228562085C185592680 @default.
- W2228562085 hasConceptScore W2228562085C23895516 @default.
- W2228562085 hasConceptScore W2228562085C27438332 @default.
- W2228562085 hasConceptScore W2228562085C2776401178 @default.
- W2228562085 hasConceptScore W2228562085C31903555 @default.
- W2228562085 hasConceptScore W2228562085C41008148 @default.
- W2228562085 hasConceptScore W2228562085C41895202 @default.
- W2228562085 hasConceptScore W2228562085C50644808 @default.
- W2228562085 hasConceptScore W2228562085C52622490 @default.
- W2228562085 hasConceptScore W2228562085C55952523 @default.
- W2228562085 hasIssue "12" @default.
- W2228562085 hasLocation W22285620851 @default.
- W2228562085 hasOpenAccess W2228562085 @default.
- W2228562085 hasPrimaryLocation W22285620851 @default.
- W2228562085 hasRelatedWork W134362846 @default.
- W2228562085 hasRelatedWork W151463040 @default.
- W2228562085 hasRelatedWork W1592382502 @default.
- W2228562085 hasRelatedWork W1964952041 @default.
- W2228562085 hasRelatedWork W1975267178 @default.
- W2228562085 hasRelatedWork W1999167642 @default.
- W2228562085 hasRelatedWork W2048870488 @default.
- W2228562085 hasRelatedWork W2105951568 @default.
- W2228562085 hasRelatedWork W2136037361 @default.
- W2228562085 hasRelatedWork W2136126536 @default.
- W2228562085 hasRelatedWork W2137614377 @default.
- W2228562085 hasRelatedWork W2166302248 @default.
- W2228562085 hasRelatedWork W2274735967 @default.
- W2228562085 hasRelatedWork W2326242154 @default.
- W2228562085 hasRelatedWork W2331471993 @default.
- W2228562085 hasRelatedWork W3015274889 @default.
- W2228562085 hasRelatedWork W3032920737 @default.
- W2228562085 hasRelatedWork W3087435772 @default.
- W2228562085 hasRelatedWork W3099647611 @default.
- W2228562085 hasRelatedWork W2112548516 @default.
- W2228562085 hasVolume "1" @default.
- W2228562085 isParatext "false" @default.
- W2228562085 isRetracted "false" @default.
- W2228562085 magId "2228562085" @default.
- W2228562085 workType "article" @default.