Collaborative optimization decision making of cement grinding process operational indicators considering dual dynamic problem-Reference-Cited by-同舟云学术

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Collaborative optimization decision making of cement grinding process operational indicators considering dual dynamic problem

Published:2024-08 Issue: Volume:161 Page:111772
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Li Yonghang,Yang Tianqi,Hao Xiaochen^ORCID,Yang Jieguang,Sun Quanwei

Publisher

Elsevier BV

Reference33 articles.

1. Total factor productivity and energy intensity: An empirical study of China’s cement industry;Hu;Emerg. Mark. Finance Trade,2016

2. An experimental study on various industrial wastes in concrete for sustainable construction;Salla;J. Adv. Concr. Technol.,2021

3. An industrial comparative study of cement clinker grinding systems regarding the specific energy consumption and cement properties;Hosten;Powder Technol.,2012

4. A soft sensor model based on long&short-term memory dual pathways convolutional gated recurrent unit network for predicting cement specific surface area;Sun;ISA Trans.,2022

5. Prediction of cement specific surface area in the cement mill grinding process: A method combining dual-frequency principal component analysis and extreme gradient boosting;Shi;Proc. Inst. Mech. Eng. B,2023

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