Predicting the printed circuit board cycle time of surface-mount-technology production lines using a symbiotic organism search-based support vector regression ensemble.
Debiao LiSiping ChenRaymond ChiongLiting WangSandeep DhakalPublished in: Int. J. Prod. Res. (2021)
Keyphrases
- support vector regression
- production line
- printed circuit boards
- hybrid model
- support vector
- regression model
- kernel function
- support vector classification
- solution path
- multistage
- support vector machine svm
- neural network
- training data
- case study
- production system
- artificial intelligence
- support vector machine
- feature space
- pattern recognition
- learning algorithm