Modeling of Generative Mechanism from Burden Surface to Burden Distribution Matrix

Burden distribution matrix is a key part of smooth operation for the blast furnace ironmaking process. It directly influences the burden surface of the blast furnace. Recently, many researchers establish the mathematical model from the burden distribution matrix to the burden surface. However, the research from the burden surface to the burden distribution matrix is rare. Hence, this paper establishes the generative mechanism from the burden surface to the burden distribution matrix. In this paper, our previously improved multi-layer extreme learning machine (named as EAPSO-ML-ELM) is used as the modelling algorithm of the generative mechanism. And the real blast furnace production data are used to verify the generative mechanism. Compared with the generative mechanism based on ML-ELM, the simulation results demonstrate that the generative mechanism based on EAPSO-ML-ELM has better accuracy and generalization performance.