Prediction model of end-point phosphorus content in BOF steelmaking process based on PCA and BP neural network

• Published in: Journal of process control Vol. 66; pp. 51 - 58
• Main Authors: He, Fei, Zhang, Lingying
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2018
• Subjects: Back propagation neural network; BOF; End-point phosphorus content; Multiple linear regression; Prediction model; Principal component analysis; BOF; Back propagation neural network; Multiple linear regression; End-point phosphorus content; Prediction model; Principal component analysis

•A combined principal component analysis (PCA) and BP neural network model is established to predict BOF end-point phosphorus content.•A multiple linear regression model and BP neural network model for prediction of BOF end-point phosphorus content are also established.•PCA could reduce dimensionali...