Prediction model of hot metal temperature for blast furnace based on improved multi-layer extreme learning machine

Author:

Su Xiaoli,Zhang Sen,Yin Yixin,Xiao Wendong

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Beijing Municipal Education Commission

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference37 articles.

1. Wang XL (2000) Iron and steel metallurgy (iron parts). Metallurgical Industry Press, Beijing

2. Radhakrishnan VR, Ram KM (2001) Mathematical model for predictive control of the bell-less top charging system of a blast furnace. J Process Control 11(5):565–586

3. Geerdes M, Toxopeus H, van der Vliet C (2009) Modern blast furnace ironmaking: an introduction, vol 4. Ios Press, Amsterdam

4. Gao CH, Ge QH, Jian L (2014) Rule extraction from fuzzy-based blast furnace SVM multiclassifier for decision-making. IEEE Trans Fuzzy Syst 22(3):586–596

5. Huang GB, Zhu QY, Siew CK (2004) Extreme learning machine: a new learning scheme of feedforward neural networks. In: Proceedings of international joint conference on neural networks (IJCNN2004), vol 2, pp 985–990

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