A machine learning digital twin approach for critical process parameter prediction in a catalyst manufacturing line.
Matteo PernoLars HvamAnders HaugPublished in: Comput. Ind. (2023)
Keyphrases
- machine learning
- prediction accuracy
- manufacturing processes
- data sets
- process planning
- production line
- product quality
- pattern recognition
- computer vision
- neural network
- active learning
- text mining
- learning systems
- process model
- machine learning methods
- parameter settings
- decision making
- feature selection
- manufacturing process