In this paper, wine quality is investigated based on physicochemical ingredients which include fixed acidity, volatile acidity, citric acid, residual sugar, chloride, free sulfur dioxide, total sulfur dioxide, density, pH, sulphate and alcohol, by ANFIS (Adaptive Neuro Fuzzy Inference System) method and by random forest algorithm which is a powerful classification algorithm. Although this study specifically investigate the relation between physicochemical ingredients and the quality of wine, the results can be adaped to determination of the quality of any food product in terms of the ingredients.
Primary Language | English |
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Subjects | Mathematical Sciences |
Journal Section | Review Articles |
Authors | |
Publication Date | February 1, 2019 |
Submission Date | November 23, 2017 |
Acceptance Date | April 30, 2018 |
Published in Issue | Year 2019 Volume: 68 Issue: 1 |
Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics.
This work is licensed under a Creative Commons Attribution 4.0 International License.