Data-Driven Control Performance Monitoring forIndustrial Processes Based on Transfer Learning and Neural Network
Author:
Affiliation:
1. University of Science and Technology Beijing,School of Automation and Electrical Engineering,Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10295546/10295577/10295722.pdf?arnumber=10295722
Reference15 articles.
1. How transferable are features in deep neural networks?;yosinski;Advances in neural information processing systems,2014
2. Reinforcement learning and feedback control: Using natural decision methods to design optimal adaptive controllers;lewis;IEEE Control Systems Magazine,2012
3. Adaptation Regularization: A General Framework for Transfer Learning
4. Shallow vs. deep sum-product networks, Advances in neural information processing systems;delalleau,2011
5. Fault detection and diagnosis based on transfer learning for multimode chemical processes
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