Fuzzy least squares support vector machines for multiclass problems
نویسندگان
چکیده
منابع مشابه
Fuzzy least squares support vector machines for multiclass problems
In least squares support vector machines (LS-SVMs), the optimal separating hyperplane is obtained by solving a set of linear equations instead of solving a quadratic programming problem. But since SVMs and LS-SVMs are formulated for two-class problems, unclassifiable regions exist when they are extended to multiclass problems. In this paper, we discuss fuzzy LS-SVMs that resolve unclassifiable ...
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ژورنال
عنوان ژورنال: Neural Networks
سال: 2003
ISSN: 0893-6080
DOI: 10.1016/s0893-6080(03)00110-2