Knowledge-Based Control and Optimization of Blast Furnace Gas System in Steel Industry
Aiming at the control and optimization problem of blast furnace gas (BFG) systems in the steel industry, a knowledge-based optimal control algorithm combining fuzzy rules extraction with neural networks (NNs) ensemble-based prediction is proposed. On one hand, a fuzzy model is designed to extract th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8070312/ |