Paper Title:
Algorithm of Sparse Least Squares Support Vector Machine
  Abstract

Support Vector Machine has been widely studied in recent years. The algorithm of least squares support vector machine is studied, the shortcomings of the algorithm are given. The result of algorithm is lack of sparseness. In this paper greedy algorithm is introduced into the least squares support vector machine. Sparseness is obtained again. A new algorithm of sparse least squares support vector machine is given. The new algorithm was used to sewage treatment plant daily monitoring. Experimental results demonstrate the improved algorithm of support vector machine was successful.

  Info
Periodical
Advanced Materials Research (Volumes 143-144)
Edited by
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
Pages
1229-1233
DOI
10.4028/www.scientific.net/AMR.143-144.1229
Citation
Y. L. Zhang, Y. W. Zhu, S. F. Lin, X. J. Sun, Q. N. Zhang, X. H. Liu, "Algorithm of Sparse Least Squares Support Vector Machine", Advanced Materials Research, Vols. 143-144, pp. 1229-1233, 2011
Online since
October 2010
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