GA-SVM algorithm is the SVM algorithm works before using GA in a random set of points on the genetic optimization, the initial value as the initial value of SVM algorithm, and then by the SVM training algorithm [7].

- SVM GA algorithm states in SVM algorithm is used before GA at random points on a cluster of genetic the optimization of , , SVM initial value as the initial value, then the algorithm SVM algorithm training [ 7] .

The GA-SVM algorithm principle is in front of the SVM algorithm, uses GA to inherit the optimization first in the stochastic set of points, the starting value, by this took the SVM algorithm the starting value, then carries on by the SVM algorithm trains [7].

Before the GA-SVM algorithm is the principle of the SVM algorithm, first with genetic optimization of GA on the set of random points,, initial value, using this as the initial value of the SVM algorithm, then by the SVM algorithm for training [7].

Before the GA-SVM algorithm is the principle of the SVM algorithm, first with genetic optimization of GA on the set of random points,, initial value, using this as the initial value of the SVM algorithm, then by the SVM algorithm for training [7].