AwsQgcNet: A Novel Soft Sensor Method for Quality Prediction Modeling in Suspended Magnetization Roasting Process
Author:
Affiliation:
1. College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 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/ielx8/7361/10637303/10584452.pdf?arnumber=10584452
Reference41 articles.
1. Prediction of Multiple Molten Iron Quality Indices in the Blast Furnace Ironmaking Process Based on Attention-Wise Deep Transfer Network
2. Modeling of energy consumption and effluent quality using density peaks-based adaptive fuzzy neural network
3. A Novel Feature-Extraction-Based Process Monitoring Method for Multimode Processes With Common Features and Its Applications to a Rolling Process
4. Robust Data-Driven Modeling Approach for Real-Time Final Product Quality Prediction in Batch Process Operation
5. Quality Variable Prediction for Nonlinear Dynamic Industrial Processes Based on Temporal Convolutional Networks
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