Symbolic computing of LS-SVM based models
نویسندگان
چکیده
This paper introduces a software tool SYM-LS-SVM-SOLVER written in Maple to derive the dual system and the dual model representation of LS-SVM based models, symbolically. SYM-LS-SVM-SOLVER constructs the Lagrangian from the given objective function and list of constraints. Afterwards it obtains the KKT (Karush-Kuhn-Tucker) optimality conditions and finally formulates a linear system in terms of the dual variables. The effectiveness of the developed solver is illustrated by applying it to a variety of problems involving LS-SVM based models.
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