Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0.
Luca RomeoJelena LoncarskiMarina PaolantiGianluca BocchiniAdriano ManciniEmanuele FrontoniPublished in: Expert Syst. Appl. (2020)
Keyphrases
- machine learning
- design parameters
- primary purpose
- information systems
- case study
- support systems
- knowledge engineering
- design process
- parameter estimation
- artificial intelligence
- design tools
- prediction accuracy
- supervised learning
- data analysis
- pattern recognition
- computer vision
- maximum likelihood
- text mining
- natural language processing
- learning systems
- end users
- active participation