Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery
Liu Z.; Wu Q.; Zhang Y.; Chen C.L.P.
2011
Source PublicationInternational Journal of Machine Learning and Cybernetics
ISSN18688071
Volume2Issue:1Pages:37
AbstractOne of the main problems for effective control of a minimally invasive surgery (MIS) is the imprecision that caused by hand tremor. In this paper, a novel adaptive filter, the least squares support vector machines adaptive filter (LS-SVMAF), is proposed to overcome this problem. Compared with traditional methods like multi layer perceptron (MLP), LS-SVM shows a superior performance of nonlinear modeling with small scale of data set or high dimensional input space. With the LS-SVMAF, we can model and predict the hand tremor more effectively and improve the precision and reliability in the master-slave robotic system for microsurgery. Simulation results demonstrate the effectiveness of the proposed filter and its superior performance over its competing rivals. © 2011 Springer-Verlag.
KeywordHand tremor Least squares support vector machines (LS-SVM) Minimally invasive surgery (MIS) Multi layer perceptron (MLP)
DOI10.1007/s13042-011-0012-5
URLView the original
Language英语
The Source to ArticleScopus
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Cited Times [WOS]:31   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
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GB/T 7714
Liu Z.,Wu Q.,Zhang Y.,et al. Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery[J]. International Journal of Machine Learning and Cybernetics,2011,2(1):37.
APA Liu Z.,Wu Q.,Zhang Y.,&Chen C.L.P..(2011).Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery.International Journal of Machine Learning and Cybernetics,2(1),37.
MLA Liu Z.,et al."Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery".International Journal of Machine Learning and Cybernetics 2.1(2011):37.
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