Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control.
Maryam YalsavarPaknoosh KarimaghaeeAkbar Sheikh-AkbariMohammad Hassan KhoobanJamshid DehmeshkiSalah Al-MajeedPublished in: IEEE Access (2022)
Keyphrases
- parameter optimization
- sliding mode control
- adaptive fuzzy
- support vector regression
- control strategy
- kernel function
- genetic algorithm ga
- robot manipulators
- differential evolution
- adaptive neural
- genetic algorithm
- support vector machine
- parameter estimation
- parameter settings
- support vector
- pid controller
- fuzzy control
- nonlinear systems
- real time
- feature selection
- fuzzy logic
- feature space
- control method
- control system
- neural network
- chaotic systems
- hyperparameters
- control algorithm
- manufacturing systems
- data fusion
- mathematical model
- fitness function
- maximum likelihood