Auxiliary Knowledge-Based Fine-Tuning Mechanism for Industrial Time-Lag Parameter Prediction

Compared with the optimization technology of retraining models, fine-tuning pretrained neural networks have been widely used in industrial process monitoring because of their high precision and low training cost. However, data privacy protection in industry makes it impossible to improve the upstrea...

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Veröffentlicht in:	IEEE transactions on automation science and engineering 2024-02, p.1-13
Hauptverfasser:	Zhai, Naiju, Zhou, Xiaofeng, Li, Shuai, Shi, Haibo
Format:	Artikel
Sprache:	eng
Schlagworte:	auxiliary learning Computational modeling Data models Fine-tuning industrial time-lag parameter prediction Knowledge engineering Neural networks Predictive models prior knowledge Task analysis Training
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