国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

As a intelligent computing technology based on biological laws of group behavior,Swarm intelligence is widely used to solve the problems of parameter optimization. Ant colony algorithm and particle swarm optimization are widely used as two typical algorithms of swarm intelligence. In this paper we did analyze the insignificance of the standard ant colony algorithm and particle swarm optimization,then the improved ant colony algorithm and particle swarm optimization were respectively used to optimize the parameters of the regression model of support vector machine,and the hydrogen content of NdFeB alloy in the hydrogen absorption stage is taken as an example to simulates and verifies the improved model by MATLAB. The contrast of prediction performance of the regression model between two algorithms was given at last. The results of simulation indicate that the improved swarm intelligence algorithm has important significance on optimizing the process control.