An integrated harmony search algorithm-based multi-objective differential evolution of evolving spiking neural network.
Abdulrazak Yahya SalehSiti Mariyam ShamsuddinHaza Nuzly Abdull HamedPublished in: Int. J. Intell. Syst. Technol. Appl. (2016)
Keyphrases
- harmony search algorithm
- multi objective differential evolution
- spiking neural networks
- biologically inspired
- test problems
- numerical optimization
- nsga ii
- biologically plausible
- particle swarm optimization
- harmony search
- learning rules
- feed forward
- initial solution
- motor control
- artificial neural networks
- neural network
- multi objective
- metaheuristic
- optimization problems
- artificial intelligence
- genetic algorithm
- multi objective optimization
- pareto optimal
- training algorithm
- solution quality
- benchmark problems
- back propagation
- computational intelligence
- objective function
- machine learning