A Novel Prediction Method for Blast Furnace Gas Utilization Rate Based on Dynamic Weighted Stacked Output‐Relevant Autoencoder-Reference-Cited by-同舟云学术

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A Novel Prediction Method for Blast Furnace Gas Utilization Rate Based on Dynamic Weighted Stacked Output‐Relevant Autoencoder

Published:2023-02-03 Issue:5 Volume:94 Page:
ISSN:1611-3683
Container-title:steel research international
language:en
Short-container-title:steel research int.

Author:

Jiang Zhaohui¹²^ORCID,Zhu Jicheng¹^ORCID,Pan Dong¹^ORCID,Yu Haoyang¹^ORCID,Zhou Ke¹,Gui Weihua¹²^ORCID

Affiliation:

1. School of Automation Central South University Changsha 410083 China

2. Peng Cheng Laboratory Shenzhen 518000 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Materials Chemistry,Metals and Alloys,Physical and Theoretical Chemistry,Condensed Matter Physics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/srin.202200680

Reference30 articles.

1. Multi-Objective Genetic Algorithms and Genetic Programming Models for Minimizing Input Carbon Rates in a Blast Furnace Compared with a Conventional Analytic Approach

2. Influence of Charging Parameters on the Burden Flow Velocity and Distribution on the Blast Furnace Chute Based on Discrete Element Method

3. Temperature Measurement and Compensation Method of Blast Furnace Molten Iron Based on Infrared Computer Vision

4. Operation Status Prediction Based on Top Gas System Analysis for Blast Furnace

5. Review on Modeling and Simulation of Blast Furnace

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation, Prediction, and Feedback of Blast Furnace Hearth Activity Based on Data‐Driven Analysis and Process Metallurgy;steel research international;2023-11-29

2. A Deep Learning‐Based Approach to the Estimation of Jominy Profile of Medium‐Carbon Quench Hardenable Steels;steel research international;2023-11-08

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