Hybrid Intelligent Prediction Model of Cobalt Concentration for Purification Process
一种净化过程钻离子浓度的混合智能预测方法

A hybrid intelligent prediction model combining case-based reasoning(CBR) with adaptive particle swarm optimization(PSO) was proposed for the cobalt concentration prediction of purification process in zinc hydrometallurgy.Owing to the different effect of the case in different periods,a combined weighted similarity functions was presented.Consideration of the retrieval accuracy of CBR influenced by the feature weighting vector selection and the optimal number of nearest neighbors,an adaptive PSO algorithm wa...