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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
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Series: | Metals |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4701/11/7/1001 |