Placement of Sub-Resolution Assist Features Based on a Genetic Algorithm.
Wei-Ming KanYu-Ru HuangChao-Yi HuangChun-Sheng WuKao-Tun ChenYu-Shin LinHung-Fei KuoPublished in: IEEE Access (2019)
Keyphrases
- genetic algorithm
- low level
- false positives
- feature extraction
- data sets
- specific features
- feature set
- multi objective
- feature vectors
- feature space
- object recognition
- training set
- artificial neural networks
- training data
- case study
- decision trees
- classification accuracy
- feature selection
- genetic programming
- neural network
- optimization method
- job shop scheduling problem
- database