Blast furnace hot metal temperature and silicon content prediction using soft sensor based on fuzzy C-means and exogenous nonlinear autoregressive models-Reference-Cited by-同舟云学术

Blast furnace hot metal temperature and silicon content prediction using soft sensor based on fuzzy C-means and exogenous nonlinear autoregressive models

Published:2020-10 Issue: Volume:141 Page:107028
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Fontes Diane Otília Lima,Vasconcelos Luis Gonzaga Sales,Brito Romildo Pereira

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference45 articles.

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4. Predictive control of thermal state of blast furnace;Barbasova;J. Phys. Conf. Ser.,2018

5. Support algorithm for blast furnace operation with optimal fuel consumption;Bernasowski;J. Min. Metall. Sect. B Metall.,2019

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