%0 Journal Article
%A WANG Xiao-lan
%A KANG Lei
%T Time series prediction based on online fuzzy least square support vector machine
%D 2010
%R 10.3778/j.issn.1002-8331.2010.09.061
%J Computer Engineering and Applications
%P 215-216
%V 46
%N 9
%X On the base of fuzzy least square support vector machine and the online learning algorithm，an incremental fuzzy least square support vector machine is proposed.The fuzzy weighting parameters are introduced into incremental least square support vector machine，which effectively increases the noise immunity.And the online learning ability of this algorithm is increased by the incremental kernel function algorithm.Experimental results on voltage deviations and wind speed show that this method is much better than the traditional LSSVM algorithm in accuracy and learning speed.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2010.09.061