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

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Veröffentlicht in:	Minerals vol. 15, no. 6 (2025), p. 553-577
1. Verfasser:	Li, Shaohui
Weitere Verfasser:	Cao Yuanyuan, Zhou Zhenjie, Li, Xinghua, Zhu Yanlong
Veröffentlicht:	MDPI AG
Schlagworte:	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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