Tekşen, Ümran M.Genç, Aşır2018-05-092018-05-092011Tekşen, Ü. M., Genç, A. (2011). LS-SVM method for fuzzy nonlinear regression. Selcuk Journal of Applied Mathematics, 53-60.1302-7980https://hdl.handle.net/20.500.12395/10593URL: http://sjam.selcuk.edu.tr/sjam/article/view/290In 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.eninfo:eu-repo/semantics/openAccessFuzzy nonlineer regressionLeast squares support vector machineBulanık doğrusal olmayan regresyonEn küçük kareler destek vektör makinesiArticle5360