求翻译：而遗传算法可以根据适应度函数值自动调整交叉概率和变异的概率，从而降低了SVM网络的误差值，若将两者结合可以充分发挥各自的优势。是什么意思？

The genetic algorithm can automatically adjust the fitness function value of crossover probability and mutation probability, which reduces the error of SVM network, hence a combination of both can give full play to their strengths.

And the genetic algorithm can be automatically adjusted based on cross-cutting probability 函数值 adaptation degrees and variations, thereby reducing the probability of a margin of error SVM network, if the combination can give full play to their respective advantages.

But the genetic algorithm may act according to the sufficiency function value automatic control overlapping probability and the variation probability, thus reduced the SVM network erroneous value, if may display fully both union respective superiority.

Genetic algorithm can be adjusted according to the fitness function value is automatically crossover probability and mutation probability, thereby reducing the SVM network error values, if the combination can give full play to their strengths.

Genetic algorithms can be automatically adjusted according to the fitness function value crossover probability and mutation probability, which reduces the errors of the SVM networks, if the combination can give full play to their strengths.