By Topic

Establishing Common Pattern of Traditional Chinese Medicine Fingerprint by SVM

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yun Yang ; South China Univ. of Technol., Guangzhou ; Xuefeng Zhu

Establishing the common pattern of the traditional Chinese medicine fingerprint signal is an important problem for the evaluation in herbal medicine field. This study deals with the application of support vector machine regression combined with discrete wavelet transform in creating the common pattern of fingerprint signal. The original signal was first decomposed to different scales by discrete wavelet transform constructed by lifting scheme, and then the decomposed signal components were approximated by different kernel function of support vector machine regression. The real-life samples is used for the experiment to train and test the support vector machine regression in achieving the common pattern, the result shows that the approach proposed in this study is a useful method in establishing the common pattern of fingerprint signal.

Published in:

Control and Automation, 2007. ICCA 2007. IEEE International Conference on

Date of Conference:

May 30 2007-June 1 2007