KSLD-TNet: Key Sample Location and Distillation Transformer Network for Multi-Step Ahead Prediction in Industrial Processes

The multi-step ahead prediction of crucial quality indicators is the cornerstone for optimizing and controlling industrial processes. The accurate multi-step ahead prediction over long prediction horizons holds great potential for improving production performance in industrial processes. However, ex...

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Veröffentlicht in:	IEEE sensors journal 2023-12, p.1-1
Hauptverfasser:	Liu, Diju, Wang, Yalin, Liu, Chenliang, Yuan, Xiaofeng, Wang, Kai
Format:	Artikel
Sprache:	eng
Schlagworte:	Data mining deap learning Decoding Encoding Feature extraction Industrial process key sample location and distillation transformer multi-step ahead prediction Process control Sensors Transformers
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