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- Title
Denetimli Örüntü Tanıma ve Gıda Analizlerinde Uygulamaları.
- Authors
Demircan, Bahar; Elmacı, Yeşim
- Abstract
Supervised pattern recognition is a technique for classification that the prior knowledge is used regarding member of sample category. Classification model is improved by using samples separated into category as training set. Supervised pattern recognition is getting more important for chemistry, biology, pharmacology and food science. There are many supervised pattern recognition methods. The main part is to select the most appropriate method. There are implementations to different inputs for various purposes such as food quality assessment and data interpretation. Wine, oil, honey, dairy products, meat, fruits, beverages, cereals and fish could be given as examples analyzed by supervised pattern recognition techniques. Also by using this techniques, texture and aroma analyses, food verification, food quality assessment, multiple element analysis, classification based on geographical and botanical origins can be performed. In this review, supervised pattern recognition is defined, its application techniques are summarized, and information is provided by exemplifying studies on pattern recognition techniques used in food analysis.
- Subjects
PATTERN perception; FOOD chemistry; FOOD quality; FOOD science; DAIRY products; HONEY
- Publication
Academic Food Journal / Akademik GIDA, 2019, Vol 17, Issue 3, p429
- ISSN
1304-7582
- Publication type
Article
- DOI
10.24323/akademik-gida.647734