Abstract:In order to obtain better quantitative analysis for liquid steel,the technology of laser induced breakdown(LIBS) is used to establish the support vector machine model,whose parameters are optimized by the genetic algorithm. The experimental verification is performed on Mn element concentration in the liquid steel,which is comparing the support vector machine model with the traditional method. And the three reference quantities,namely,root mean square error,relative standard error and the correlation coefficient,which are obtained from the experimental results,are 0.612%,9.37% and 0.948,respectively. Results show that the genetic algorithm of support vector machine model can have certain enhancement in the analytical performance.