Integrated Feature Selection and Parameter Optimization for Evolving Spiking Neural Networks Using Quantum Inspired Particle Swarm Optimization.
Haza Nuzly Abdull HamedNikola K. KasabovSiti Mariyam ShamsuddinPublished in: SoCPaR (2009)
Keyphrases
- parameter optimization
- differential evolution
- particle swarm optimization
- quantum inspired
- mutation operator
- spiking neural networks
- genetic algorithm
- pid controller
- feature selection
- pso algorithm
- convergence speed
- genetic algorithm ga
- quantum computing
- particle swarm optimization pso
- evolutionary algorithm
- biologically inspired
- global optimization
- multi objective
- particle swarm
- optimization method
- metaheuristic
- optimization algorithm
- crossover operator
- simulated annealing
- feed forward
- ant colony optimization
- parameter settings
- support vector machine
- biologically plausible
- artificial neural networks
- fitness function
- missing data
- support vector
- artificial intelligence