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Research on Prediction Method of Ferrous Oxide Content in Sinter Based on Optimized Neural Network

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Pubblicato in:Minerals vol. 15, no. 6 (2025), p. 553-577
Autore principale: Li, Shaohui
Altri autori: Cao Yuanyuan, Zhou Zhenjie, Li, Xinghua, Zhu Yanlong
Pubblicazione:
MDPI AG
Soggetti:
Parameters
Working conditions
Iron compounds
Correlation analysis
Brightness
Back propagation networks
Image processing
Steel industry
Systems stability
Machine learning
Energy consumption
Prediction models
Industrial production
Cameras
Cross-sections
Accuracy
Image acquisition
Errors
Vectors
Algorithms
Real time
Feedback control
Process parameters
Testing time
Data processing
Data analysis
Feedback
Sintering
Raw materials
Genetic algorithms
Oxidation
Neural networks
Process controls
Adaptive learning
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