Study on Blowing Oxygen Volume Prediction of BOF Steelmaking Based on PSO-SVM

Aiming at the low accuracy of prediction models for BOF blowing oxygen volume,the modeling method of blowing oxygen volume prediction using particle swarm optimization support vector machine was proposed. The results show that,comparing to other algorithms,such as RBF,BP and SVM,the prediction model of BOF blowing oxygen volume using particle swarm optimization support vector machine has a higher modeling accuracy and better generalization ability.