Collaborative Extraction of Intervariable Coupling Relationships and Dynamics for Prediction of Silicon Content in Blast Furnaces
Author:
Affiliation:
1. State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10129979.pdf?arnumber=10129979
Reference35 articles.
1. Virtual Sensing f-CaO Content of Cement Clinker Based on Incremental Deep Dynamic Features Extracting and Transferring Model
2. Understanding the difficulty of training deep feedforward neural networks;xavier;Proc 13th Int Conf Artif Intell Statist,2010
3. Nonlinear probabilistic latent variable regression models for soft sensor application: From shallow to deep structure
4. Estimating or propagating gradients through stochastic neurons for conditional computation;bengio;arXiv 1308 3432,2013
5. A Faster Dynamic Feature Extractor and Its Application to Industrial Quality Prediction
Cited by 8 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. Data/mechanism hybrid-driven modeling of blast furnace smelting system and global sequential optimization;Journal of Process Control;2024-07
2. A Survey of Data-Driven Soft Sensing in Ironmaking System: Research Status and Opportunities;ACS Omega;2024-06-06
3. A large-scale graph clustering method for cell conditions spatio-temporal localization in aluminum electrolysis;Information Sciences;2024-06
4. Pretrained Language–Knowledge Graph Model Benefits Both Knowledge Graph Completion and Industrial Tasks: Taking the Blast Furnace Ironmaking Process as an Example;Electronics;2024-02-22
5. One-Sided Relational Autoencoder With Seasonal-Trend Decomposition to Extract Process Correlations for Molten Iron Quality Prediction;IEEE Transactions on Instrumentation and Measurement;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3