Data-Driven Multi-Objective Optimization of Power Consumption and Quality for Finishing Rolling Process
Author:
Affiliation:
1. College of Engineering, Peking University,State Key Laboratory for Turbulence & Complex Systems,Department of Mechanics and Engineering Science,Beijing,P. R. China,100871
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10606543/10606546/10606881.pdf?arnumber=10606881
Reference18 articles.
1. A novel mass flow controller for tandem hot rolling mills
2. Overcurrent Protection Response of a Hot Rolling Mill Filtering System: Analysis of the Process Conditions
3. MATHEMATICAL-ARTIFICIAL NEURAL NETWORK HYBRID MODEL TO PREDICT ROLL FORCE DURING HOT ROLLING OF STEEL
4. A novel algorithm for a multi-cavity Raman fiber laser
5. Load Distribution Optimization System Based on MSCGA
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