Paper Title:
LS-SVM Based Self-Learning Tremor Controller for Microsurgery
  Abstract

One 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. Simulation results demonstrate the effectiveness of the proposed filter and its superior performance over its competing rivals.

  Info
Periodical
Advanced Materials Research (Volumes 255-260)
Edited by
Jingying Zhao
Pages
1999-2003
DOI
10.4028/www.scientific.net/AMR.255-260.1999
Citation
Z. Liu, Q. H. Wu, Y. Zhang, "LS-SVM Based Self-Learning Tremor Controller for Microsurgery", Advanced Materials Research, Vols. 255-260, pp. 1999-2003, 2011
Online since
May 2011
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Price
$32.00
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