NDLI: Application of least squares support vector machine in soft sensor of traditional Chinese Medicine extraction

Content Provider	IEEE Xplore Digital Library
Author	Chen Juan Yang Yang Qi Yanlei
Copyright Year	2011
Description	Author affiliation: College of Information Science & Technology, Beijing University of Chemical Technology, China (Chen Juan; Yang Yang; Qi Yanlei)
Abstract	Aiming at the difficult measurement problem of the extraction rate for plants and herbs with the ultrasonic wave technology, the influence of the various factors on the extraction rate in the ultrasonic extraction process is analyzed and the dynamic process variables which is easily measured and can affect the extraction rate is ensured in this paper. A soft sensor model between the easily measured variables and the ones to be measured is established with the Least Squares Support Vector Machine (LS-SVM) method. Using the optimized model, the impact of process parameters on the extraction rate in the extraction process of Chinese medicine is predicted and analyzed. The learning performance and generalization capability of the model are verified. The conclusion that the extraction temperature has an impact on the extraction rate of the traditional Chinese medicine can be drawn. Finally, the experimental results show that the LS-SVM method is suitable for data modeling of small sample data and characterizes by the quicker calculation speed and stronger generalization ability. The soft sensor model which is established with the LS-SVM method has achieved more accurate prediction on extraction rate of the traditional Chinese medicine.
Starting Page	747
Ending Page	751
File Size	266261
Page Count	5
File Format	PDF
ISBN	9781424499502
ISSN	21579563
e-ISBN	9781424499533
DOI	10.1109/ICNC.2011.6022223
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Temperature measurement Soft sensor technique LS-SVM Ultrasonic extraction Predictive models Data models Acoustics Data mining Kernel
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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