Paper Title:
Predictive Model for BOF Steelmaking Using RBF Neural Network
  Abstract

Effective control of the endpoint steel temperature and contents of carbon, sulphur, etc. is one of the main tasks of BOF steelmaking process. This paper established a multivariable predictive model for BOF steelmaking using RBF neural network. The input data is pretreated and standardized. Receding horizon control method is used to increase the accuracy of the model. Simulation and experiment comparisons show that the model is validated and has high hit rate.

  Info
Periodical
Edited by
Qi Luo
Pages
1214-1218
DOI
10.4028/www.scientific.net/AMM.58-60.1214
Citation
Y. P. Zhu, X. D. Zhao, S. L. Xu, "Predictive Model for BOF Steelmaking Using RBF Neural Network", Applied Mechanics and Materials, Vols. 58-60, pp. 1214-1218, 2011
Online since
June 2011
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