A novel differential particle swarm optimization for parameter selection of support vector machines for monitoring metal-oxide surge arrester conditions.
Thi Thom HoangMing-Yuan ChoMahamad Nabab AlamQuoc Tuan VuPublished in: Swarm Evol. Comput. (2018)
Keyphrases
- parameter selection
- particle swarm optimization
- metal oxide
- soft margin
- support vector
- adaptive regularization
- ls svm
- x ray
- model selection
- real time
- cross validation
- support vector machine
- feature selection
- generalization ability
- solid state
- three dimensional
- kernel methods
- radial basis function
- total variation
- prediction model
- hardware and software
- power consumption
- kernel function
- image restoration
- high speed