Forecast model for dephosphorization process of ferromanganese steels using artificial neural networks-Reference-Cited by-同舟云学术

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Forecast model for dephosphorization process of ferromanganese steels using artificial neural networks

Published:2020 Issue:2 Volume:25 Page:
ISSN:1517-7076
Container-title:Matéria (Rio de Janeiro)
language:
Short-container-title:Matéria (Rio J.)

Author:

Monteiro Lee Vinagre¹^ORCID,Santanna Angelo Marcio Oliveira²^ORCID

Affiliation:

1. Pontifical Catholic University of Parana, Brasil

2. Pontifical Catholic University of Parana, Brasil; Federal University of Bahia, Brasil

Publisher

FapUNIFESP (SciELO)

Subject

General Physics and Astronomy,General Materials Science,General Chemistry

Link

http://www.scielo.br/pdf/rmat/v25n2/1517-7076-rmat-25-02-e12608.pdf

Reference14 articles.

1. Effect of carbon content of ferromanganese alloy on corrosion behavior of MgO–C refractory;UM H;Ironmaking & Steelmaking,2014

2. Dephosphorization of high carbon ferromanganese using BaCO3 based fluxes;CHAUDHARY P.N;Ironmaking & Steelmaking,2001

3. Fundamentals of natural computing: an overview;CASTRO L.N.;Physics of Life Reviews,2007

4. Neural networks and learning machine;HAYKIN S.,2008

5. Image segmentation system for quantification of microstructures in metals using artificial neural networks;ALBUQUERQUE V.H.C;Revista Matéria,2007

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