Title of article
Using multivariate statistics to predict sensory quality of marjoram from instrumental data
Author/Authors
Hirschfelder، نويسنده , , M. and Fِrster، نويسنده , , A. and Kühne، نويسنده , , S. and Langbehn، نويسنده , , J. and Junghanns، نويسنده , , W. and Pank، نويسنده , , F. and Hanrieder، نويسنده , , D.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2000
Pages
6
From page
404
To page
409
Abstract
Neuro–Fuzzy systems combine neural network algorithms with fuzzy logic. The paper presents discriminant analysis and Neuro–Fuzzy treatment of electronic nose and/or colour measuring data of marjoram. The aim was to investigate if the judgements of a sensory panel regarding taste, smell and appearance or genetically determined differences of marjoram samples can be predicted starting from the data of both instruments.
Keywords
Gas sensor , Colour measurement , Neuro–Fuzzy system , Electronic nose , Marjoram
Journal title
Sensors and Actuators B: Chemical
Serial Year
2000
Journal title
Sensors and Actuators B: Chemical
Record number
1412623
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