Soft Sensor Model Based on Kernel Slow Feature Analysis and Dynamic inner Principal Component Analysis
Author:
Affiliation:
1. Ludong University,School of Information and Electrical Engineering,Yantai,China,264025
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054511/10054645/10055027.pdf?arnumber=10055027
Reference20 articles.
1. Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy
2. Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE
3. A novel dynamic PCA algorithm for dynamic data modeling and process monitoring
4. Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network
5. Developing accurate data-driven soft-sensors through integrating dynamic kernel slow feature analysis with neural networks
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