Forecasting Model of Silicon Content in Molten Iron Using Wavelet Decomposition and Artificial Neural Networks

Silicon content forecasting models have been requested by the operational team to anticipate necessary actions during the blast furnace operation when producing molten iron, to control the quality of the product and reduce costs. This paper proposed a new algorithm to perform the silicon content tim...

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Bibliographic Details
Main Authors: Ana P. Miranda Diniz, Klaus Fabian Côco, Flávio S. Vitorino Gomes, José L. Félix Salles
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Metals
Subjects:
Online Access:https://www.mdpi.com/2075-4701/11/7/1001