Dynamic System Modeling Using a Multisource Transfer Learning-Based Modular Neural Network for Industrial Application
Author:
Affiliation:
1. Faculty of Information Technology, Beijing University of Technology, Beijing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9424/10521545/10417747.pdf?arnumber=10417747
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1. Assessing the Global Wind Atlas and local measurements for bias correction of wind power generation simulated from MERRA-2 in Brazil
2. Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence
3. Semisupervised Robust Modeling of Multimode Industrial Processes for Quality Variable Prediction Based on Student's t Mixture Model
4. Soft Sensor Modeling Method Based on Target-Guided Related Feature Learning and Its Application
5. Skeletal mechanisms for prediction of NOx emission in solid fuel combustion
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