A Multi-Head Self-Attention-based on GRU Encoder-Decoder Framework for Predicting Molten Iron Silicon Content

Silicon content is a significant index in the process of blast furnace ironmaking. It is used to measure the quality of molten iron produced.It only meets the requirements if it is too high or too low. In the production process,the silicon content in molten iron needs to be controlled within a stabl...

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Bibliographic Details

Published in:	Data Driven Control and Learning Systems Conference (Online) pp. 1190 - 1194
Main Authors:	Cai, Yu, Yang, Chunjie, Lou, Siwei, Zeng, Zhenyu, Liao, Huanyu, Zhang, Bing
Format:	Conference Proceeding
Language:	English
Published:	IEEE 12.05.2023
Subjects:	Blast Furnace Blast furnaces Encoder-Decoder Feature extraction Gate Recurrent Unit Learning systems Logic gates Multi-Head Attention Mechanism Process control Production Si Content Prediction Silicon
ISSN:	2767-9861
Online Access:	Get full text
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