A study on anomaly prediction method of machine tools - Feature extraction for anomaly prediction.
Ryo FujitaTakashi YoshimiPublished in: ASCC (2017)
Keyphrases
- prediction error
- prediction model
- prediction algorithm
- experimental study
- preprocessing
- cost function
- prediction accuracy
- high accuracy
- intrusion detection
- clustering method
- computational complexity
- pairwise
- significant improvement
- dynamic programming
- regression analysis
- high precision
- genetic algorithm
- unsupervised learning
- classification method
- study proposes
- exponential smoothing
- detection method
- computational cost
- objective function
- feature extraction
- scheduling problem
- classification accuracy
- simulation study
- feature space
- predictive model
- correlation analysis
- decision trees
- feature selection