Modeling Task Relationships in Multivariate Soft Sensor With Balanced Mixture-of-Experts
Author:
Affiliation:
1. State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Provincial Key R&D Program of Zhejiang
Zhejiang University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10116046/09870520.pdf?arnumber=9870520
Reference29 articles.
1. Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE
2. A Just-in-Time Fine-Tuning Framework for Deep Learning of SAE in Adaptive Data-Driven Modeling of Time-Varying Industrial Processes
3. Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks
4. Deep Learning for Industrial KPI Prediction: When Ensemble Learning Meets Semi-Supervised Data
5. A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition
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