Feature Selection of Input Variables for Intelligence Joint Moment Prediction Based on Binary Particle Swarm Optimization.
Baoping XiongYurong LiMeilan HuangWuxiang ShiMin DuYuan YangPublished in: IEEE Access (2019)
Keyphrases
- input variables
- binary particle swarm optimization
- feature selection
- variable selection
- multiple linear regression
- artificial neural networks
- ann models
- fuzzy rules
- neural network model
- global optimization
- membership functions
- binary gravitational search algorithm
- number of input variables
- model selection
- fitness function
- dimension reduction
- routing problem
- particle swarm optimization
- artificial intelligence
- high dimensional
- genetic programming
- evolutionary algorithm
- ls svm
- data sets
- neural network
- machine learning
- support vector
- particle swarm
- pattern recognition
- feature space
- expert systems
- high dimensionality