Denoising stacked autoencoders‐based near‐infrared quality monitoring method via robust samples evaluation
Author:
Affiliation:
1. Key Laboratory of Advanced Control of Light Industry Process Ministry of Education Wuxi China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
General Chemical Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.24684
Reference22 articles.
1. A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes
2. A novel key performance indicator oriented process monitoring method based on multiple information extraction and support vector data description
3. Learning deep multi-manifold structure feature representation for quality prediction with an industrial application
4. Modified canonical variate analysis based on dynamic kernel decomposition for dynamic nonlinear process quality monitoring
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