Research on Prediction of Coal Slime Flotation Dosage Based on PSO-ELM Algorithm
In order to improve the prediction accuracy of coal slime flotation dosage,this paper predicts coal slime flotation dosage based on Particle Optimization Swarm Extreme Learning Machine(PSO-ELM)algorithm.A PSO-ELM prediction model is estab-lished using the coal slurry raw coal quantity,raw coal ash content,and coal type during flotation as input variables,and the dos-age of reagents as output variables.The internal parameters are trained,and the simulation verification and comparative experi-ments are carried out.The results show that the PSO-ELM prediction model has a higher accuracy in predicting the dosage of re-agents.It can effectively reduce the consumption of collectors and foaming agents while ensuring product quality,thereby improv-ing the production of clean coal.
万方数据
维普
