Prediction model for permeability index by integrating case-based reasoning with adaptive particle swarm optimization

To effectively predict the permeability index of smelting process in the imperial smelting furnace,an intelligent prediction model is proposed.It integrates the case-based reasoning(CBR)with adaptive par- ticle swarm optimization(PSO).The number of nearest neighbors and the weighted features vector are optimized online using the adaptive PSOto improve the prediction accuracy of CBR.The adaptive inertia weight and mutation operation are used to overcome the premature convergence of the PSO.The proposed metho...