S: SENSORY AND FOOD QUALITY
Prediction of Sweetness by Multilinear Regression Analysis and Support Vector Machine
Article first published online: 5 AUG 2013
© 2013 Institute of Food Technologists®
Journal of Food Science
Volume 78, Issue 9, pages S1445–S1450, September 2013
How to Cite
Zhong, M., Chong, Y., Nie, X., Yan, A. and Yuan, Q. (2013), Prediction of Sweetness by Multilinear Regression Analysis and Support Vector Machine. Journal of Food Science, 78: S1445–S1450. doi: 10.1111/1750-3841.12199
- Issue published online: 11 SEP 2013
- Article first published online: 5 AUG 2013
- Manuscript Accepted: 29 MAY 2013
- Manuscript Received: 14 APR 2012
- Natl. Natural Science Foundation of China. Grant Numbers: 20605003, 20975011
Additional Supporting Information may be found in the online version of this article at the publisher's website:
Table S1. The sweetness values of 320 compounds as taken from literature.
Table S2. The data and result of training set.
Table S3. The data and result of test set.
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