A data-driven based decomposition-integration method for remanufacturing cost prediction of end-of-life products.
Zhigang JiangZhouyang DingYing LiuYan WangXiaoli HuYihua YangPublished in: Robotics Comput. Integr. Manuf. (2020)
Keyphrases
- data driven
- decomposition method
- synthetic data
- significant improvement
- experimental evaluation
- pairwise
- classification method
- segmentation method
- detection method
- feature set
- decomposition algorithm
- prediction error
- prediction model
- high precision
- detection algorithm
- support vector machine svm
- data sets
- high accuracy
- classification accuracy
- dynamic programming
- prior knowledge
- preprocessing
- objective function
- multiscale
- similarity measure
- image sequences