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A hybrid dynamic model for the prediction of molten iron and slag quality indices of a large-scale blast furnace

  • Published:2022-01 Issue: Volume:156 Page:107573
  • ISSN:0098-1354
  • Container-title:Computers & Chemical Engineering
  • language:en
  • Short-container-title:Computers & Chemical Engineering

Author:

Azadi Pourya,Winz Joschka,Leo Egidio,Klock Rainer,Engell Sebastian

Funder

Bundesministerium für Wirtschaft und Energie

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference35 articles.

1. Combining neural and conventional paradigms for modelling,prediction and control;Agarwal;Int. J. Syst. Sci.,1997

2. Nonlinear prediction model of blast furnace operation status;Azadi,2020

3. A note on the validity of cross-validation for evaluating autoregressive time series prediction;Bergmeir;Computational Statistics & Data Analysis,2018

4. A predictive system for blast furnaces by integrating a neural network with qualitative analysis;Chen;Eng. Appl. Artif. Intell.,2001

5. Model predictive control using neural networks;Draeger;IEEE Control Syst. Mag.,1995

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