Genetic Neural NetworkQuantitative analysis method for laser induced breakdown spectroscopy based on gGenetic Neural Networkgenetic neural network

The invention belongs to a quantitative analysis method for a laser induced breakdown spectroscopy and particularly relates to the quantitative analysis method for the laser induced breakdown spectroscopy based on a gGenetic Neural Networkgenetic neural network. In an element quantitative detection technology based on the laser induced breakdown spectroscopy and the gGenetic Neural Networkgeneticneural network, laser-induced breakdown spectroscopy (LIBS) data are analyzed by combining an artificial neural network (ANN) with the genetic algorithm (GA for short) so as to realize the quantitative detection of elements. Compared with the traditional LIBS internal calibration method and the traditional BP(Back Propagation)-ANN method, the method has the advantages of little influence from the matrix effect, simple and quick process, avoidance of local convergence, high reliability of quantitative detection and the like.