Multi-model adaptive soft sensor modeling method using local learning and online support vector regression for nonlinear time-variant batch processes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Multi-model adaptive soft sensor modeling method using local learning and online support vector regression for nonlinear time-variant batch processes

Published:2015-07 Issue: Volume:131 Page:282-303
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Jin Huaiping,Chen Xiangguang,Yang Jianwen,Zhang Hua,Wang Li,Wu Lei

Funder

Charoen Pokphand Group

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference85 articles.

1. A recursive PLS-based soft sensor for prediction of the melt index during grade change operations in HDPE plant;Ahmed;Korean J. Chem. Eng.,2009

2. Locally weighted learning for control;Atkeson,1997

3. A modular simulation package for fed-batch fermentation: penicillin production;Birol;Comput. Chem. Eng.,2002

4. Pattern Recognition and Machine Learning;Bishop,2006

5. Lazy learning for local modelling and control design;Bontempi;Int. J. Control,1999

Cited by 65 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-based design of multi-model inferential sensors;Computers & Chemical Engineering;2023-10

2. Just-in-time based soft sensors for process industries: A status report and recommendations;Journal of Process Control;2023-08

3. Multiple Spatiotemporal Broad Learning for Real-Time Temperature Estimation of Lithium-Ion Batteries;Industrial & Engineering Chemistry Research;2023-04-04

4. Soft sensor development based on just-in-time learning and dynamic time warping for multi-grade processes;Korean Journal of Chemical Engineering;2023-03-10

5. Semi-Supervised Soft Sensor Development Based on Dynamic Dimensionality Reduction-Assisted Large-Scale Pseudo Label Optimization and Sample-Weighted Quality-Relevant Deep Learning;2023

同舟云学术

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