A Novel Semi-supervised Two-dimensional Dynamic Soft Sensor for Quality Prediction in Batch Processes-Reference-Cited by-同舟云学术

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A Novel Semi-supervised Two-dimensional Dynamic Soft Sensor for Quality Prediction in Batch Processes

Published:2023-08-21 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Industrial Artificial Intelligence (IAI)
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Author:

Zhao Ling¹,Zhu Jinlin²,Zhang Zheng³,Xie Zhenping¹,Gao Furong³

Affiliation:

1. Jiangnan University,School of Artificial Intelligence and Computer Science,Jiangsu,China,214122

2. Jiangnan University,School of Food Science and Technology,Jiangsu,China,214122

3. Hong Kong University of Science and Technology,Department of Chemical and Biological Engineering,China,999077

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326186/10327501/10327600.pdf?arnumber=10327600

Reference25 articles.

1. Soft sensor design based on phase partition ensemble of LSSVR models for nonlinear batch processes

2. An integrated multiresolution framework for quality prediction and process monitoring in batch processes;rato;Journal of Manufacturing Systems,2020

3. A fast learning algorithm for deep belief nets;hinton;Neural Computation,2006

4. VMD-SEAE-TL-Based Data-Driven soft sensor modeling for a complex industrial batch processes

5. Design of inferential sensors in the process industry: A review of Bayesian methods

Cited by 2 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. Two-Dimensional Statistical Pattern Analysis for Effective Modeling and Monitoring of Limited Batch Process Data in Food Industry;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

2. Collaborative Multiple Players to Address Label Sparsity in Quality Prediction of Batch Processes;Sensors;2024-03-24

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