The particle swarm optimization support vectors machine method of identifying standard components of ions of groundwater
Annan Jiang, Liang Bing · Meitan xuebao · 2006
The parameters of support vector machine was optimized by using particle swarm optimization,then the pattern recognition model of identifying standard components of ions of groundwater was constructed.The method takes advantages of the minimum structure risk of SVM(support vectors machine) and the quickly globally optimizing ability of PSO(particle swarm optimization),the mapping relation between!the contents of typical components of groundwater ions and the geology hydrological classes may be set up quickly,by learning from samples of water resources.