Study on Prediction of Chaotic Time Series Using Least Squares Support Vector Machines
2014 ◽
Vol 1061-1062
◽
pp. 935-938
Keyword(s):
The predictions of chaotic time series by applying the least squares support vector machine (LS-SVM), with comparison with the traditional-SVM and-SVM, were specified. The results show that, compared with the traditional SVM, the prediction accuracy of LS-SVM is better than the traditional SVM and more suitable for time series online prediction.
2006 ◽
pp. 900-906
◽
Keyword(s):
2018 ◽
Vol 18
(3)
◽
pp. 715-724
◽
2013 ◽
Vol 24
(2)
◽
pp. 207-218
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2014 ◽
Vol 1051
◽
pp. 1009-1015
◽
2007 ◽
Vol 05
(01)
◽
pp. 1-13
Keyword(s):
2002 ◽
Vol 33
(10)
◽
pp. 811-821
◽
Keyword(s):