Event-triggered Relearning Modeling Method for System with Non-stationary Variable Operating Conditions-Reference-Cited by-同舟云学术

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Event-triggered Relearning Modeling Method for System with Non-stationary Variable Operating Conditions

Published:2024-05-25 Issue: Volume:26 Page:2249-2254
ISSN:
Container-title:2024 36th Chinese Control and Decision Conference (CCDC)
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Author:

Liu Jiyan¹,Sun Qinjiang²,Zhou Yuyang³,Zhang Yong¹

Affiliation:

1. Inner Mongolia University of Science and Technology,School of Information Engineering,Baotou,China,014010

2. CNOOC China Limited,Tianjin,China,300459

3. Edinburgh Napier University,School of Computing Engineering and Built Environment,Edinburgh,UK,EH10 5DT

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587671.pdf?arnumber=10587671

Reference14 articles.

1. Multivariate time series modeling research for blast furnace hot iron temperature;Cui;Journal of Iron and Steel Research,2014

2. Silicon content forecasting method for hot metal based on elman-adaboost strong predictor;Zhuang;Metallurgical Industry Automation,2017

3. Modeling study of wavelet neural network in blast furnace molten iron temperature prediction;Zhang;Computers and Applied Chemistry,2013

4. Autoencoder and pca based rvflns modeling for multivariate molten iron quality in blast furnace ironmaking;Zhou;ACTA AUTOMATICA SINICA,2018

5. Prediction of Hot Metal Silicon Content for Blast Furnace Based on Multi-Layer Online Sequential Extreme Learning Machine

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