End-point Prediction of BOF Steelmaking Based on Wavelet Transform Based Weighted TSVR

New weighted matrix and coefficient vector are added into the objective functions of TSVR to improve the performance of the algorithm. The performance test illustrates the effectiveness of the proposed method. The results of proposed BOF model show that the prediction error bound with 0.005% in carbon content and 10 °C in temperature can achieve a hit rate of 90% and 94%, respectively. In addition, the double hit rate of 84% is the best result by comparing with other three existing methods. Therefore, the proposed method can provide a significant reference for real BOF applications.