Optimization of aluminum fluoride addition in aluminum electrolysis process based on pruned sparse fuzzy neural network
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation
Reference42 articles.
1. Operating parameters optimization for the aluminum electrolysis process using an improved quantum-behaved particle swarm algorithm;Yi;IEEE Trans Ind Inf,2017
2. Multi-objective bacterial foraging optimization algorithm based on parallel cell entropy for aluminum electrolysis production process;Yi;IEEE Trans Ind Electron,2015
3. A knowledge reasoning fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis cell condition;Yue;Front Chem Sci Eng,2017
4. Neuro-optimal tracking control for continuous stirred tank reactor with input constraints;Zhou;IEEE Trans Ind Inf,2018
5. Processes soft modeling based on stacked autoencoders and wavelet extreme learning machine for aluminum plant-wide application;Lei;Control Eng Pract,2021
Cited by 12 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. Development of data-knowledge-driven predictive model and multi-objective optimization for intelligent optimal control of aluminum electrolysis process;Engineering Applications of Artificial Intelligence;2024-08
2. Parameters optimization and precision enhancement of Takagi–Sugeno fuzzy neural network;Soft Computing;2024-07-13
3. Multi-objective optimization driven by preponderant individuals and symmetric sampling for operational parameter design in aluminum electrolysis process;Swarm and Evolutionary Computation;2024-06
4. A dynamic graph structure identification method of spatio-temporal correlation in an aluminum electrolysis cell;Applied Soft Computing;2024-05
5. Adversarial Training-Based Deep Layer-Wise Probabilistic Network for Enhancing Soft Sensor Modeling of Industrial Processes;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-02
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