Abstract:

As to the problem that the arbitrariness selection of the kernel parameters affects the performance of SVM, this paper presents the SVM kernel function optimization model based on the discrete ACO algorithm (CCACODE). CCACODE solves the problem that the continuous ACO algorithm (CACO) must be pretreated; solves the precision shortcomings of the CACO based on a grid search strategy. The simulation result shows that the method is effective, and the  F1 value reaches more than 92%.

Key words: ACO;kernel function;svm;paramerter optimization