%0 Journal Article
%T LS-SVM Method for Fuzzy Nonlinear Regression
%A ¨¹mran M. Tek£¿en
%A A£¿£¿r Gen£¿
%J Sel£¿uk Journal of Applied Mathematics
%D 2011
%I Sel?uk University
%X In this study LS-SVM method is applied for fuzzy nonlinear regression whose input and output are fuzzy numbers. The method solves any problem of classification or regression via transforming to a quadratic problem without running into local solutions. This method is favourable owing to independent from a model. In this study, two practises are applied to linear and nonlinear data.
%K Fuzzy Nonlineer Regression
%K Least Squares Support Vector Machine.
%U http://www.sumam.selcuk.edu.tr/si-s4.html