Layer-wise feature extraction approaches with deep PLS for quality prediction in industrial process
Author:
Affiliation:
1. School of Information Science and Engineering, Central South University,Changsha,410083
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9858328/9858343/09858361.pdf?arnumber=9858361
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3. Adaptive soft sensor based on online support vector regression and Bayesian ensemble learning for various states in chemical plants
4. A layer-wise data augmentation strategy for deep learning networks and its soft sensor application in an industrial hydro cracking process;yuan;IEEE Transactions on Neural Networks and Learning Systems,2019
5. Supervised Deep Belief Network for Quality Prediction in Industrial Processes;yuan;IEEE Transactions on Instrumentation and Measurement,2020
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