Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin
Authors:
- Heng ZhouHZHeng Zhou
- Chunjie YangCYChunjie Yang
- Youxian SunYSYouxian Sun
Open Access
- 1 September 2021
- journal article
- research article
- Published by Elsevier in Engineering
- Vol. 7 (9) , 1274-1281
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61933015)
This publication has 25 references indexed in Scilit:
- Fuzzy Classifier Design for Development Tendency of Hot Metal Silicon Content in Blast FurnaceIEEE Transactions on Industrial Informatics, 2017
- Narrowband Internet of Things: Implementations and ApplicationsIEEE Internet of Things Journal, 2017
- Data Mining and Analytics in the Process Industry: The Role of Machine LearningIEEE Access, 2017
- Connecting Fog and Cloud ComputingIEEE Cloud Computing, 2017
- Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace IronmakingIEEE Transactions on Control Systems Technology, 2016
- Quasi-synchronization of heterogeneous dynamic networks via distributed impulsive control: Error estimation, optimization and designAutomatica, 2015
- Step-wise sequential phase partition (SSPP) algorithm based statistical modeling and online process monitoringChemometrics and Intelligent Laboratory Systems, 2013
- A saw-tooth genetic algorithm combining the effects of variable population size and reinitialization to enhance performanceIEEE Transactions on Evolutionary Computation, 2006
- A genetic algorithm tutorialStatistics and Computing, 1994
- Adaptive probabilities of crossover and mutation in genetic algorithmsIEEE Transactions on Systems, Man, and Cybernetics, 1994