Incremental Support Vector Machine Combined with Ultraviolet-Visible Spectroscopy for Rapid Discriminant Analysis of Red Wine
Joint Authors
Liu, Jun
Pan, Tie-Jun
Zhang, Zheng-Yong
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-10
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
The aim of this work is to develop a new method to overcome the increased training time when a recognition model is updated based on the condition of new features extracted from new samples.
As a common complex system, red wine has a rich chemical composition and is used as an object of this research.
The novel method based on incremental learning support vector machine (I-SVM) combined with ultraviolet–visible (UV-Vis) spectroscopy was applied to discriminant analysis of the brands of red wine for the first time.
In this method, new features included in the new training samples were introduced into the recognition model through iterative learning in each iteration, and the recognition model was rapidly updated without significantly increasing the training time.
Experimental results show that the recognition model established by this method obtains a good balance between training efficiency and recognition accuracy.
American Psychological Association (APA)
Liu, Jun& Pan, Tie-Jun& Zhang, Zheng-Yong. 2018. Incremental Support Vector Machine Combined with Ultraviolet-Visible Spectroscopy for Rapid Discriminant Analysis of Red Wine. Journal of Spectroscopy،Vol. 2018, no. 2018, pp.1-5.
https://search.emarefa.net/detail/BIM-1202515
Modern Language Association (MLA)
Liu, Jun…[et al.]. Incremental Support Vector Machine Combined with Ultraviolet-Visible Spectroscopy for Rapid Discriminant Analysis of Red Wine. Journal of Spectroscopy No. 2018 (2018), pp.1-5.
https://search.emarefa.net/detail/BIM-1202515
American Medical Association (AMA)
Liu, Jun& Pan, Tie-Jun& Zhang, Zheng-Yong. Incremental Support Vector Machine Combined with Ultraviolet-Visible Spectroscopy for Rapid Discriminant Analysis of Red Wine. Journal of Spectroscopy. 2018. Vol. 2018, no. 2018, pp.1-5.
https://search.emarefa.net/detail/BIM-1202515
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202515