A memetic imperialist competitive algorithm with chaotic maps for multi-layer neural network training.
Seyed Jalaleddin MousaviradAzam Asilian BidgoliHossein Ebrahimpour-KomlehGerald SchaeferPublished in: Int. J. Bio Inspired Comput. (2019)
Keyphrases
- multi layer
- neural network training
- imperialist competitive algorithm
- chaotic maps
- particle swarm optimisation
- optimisation problems
- image encryption
- neural network
- hybrid algorithm
- particle swarm optimizer
- differential evolution
- image encryption algorithm
- evolutionary computation
- chaotic sequence
- optimization method
- encryption algorithm
- particle swarm
- global optimization
- training algorithm
- benchmark problems
- neural nets
- optimization algorithm
- evolutionary algorithm
- test functions
- k means
- particle swarm optimization
- particle swarm optimization pso
- expert systems
- test suite
- pso algorithm
- learning process
- evolution strategy
- machine learning
- genetic algorithm
- simulated annealing
- s box
- back propagation
- tabu search
- global search
- fitness function
- particle swarm optimization algorithm
- genetic algorithm ga