Water quantity prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks.
Nian ZhangShuhua LaiPublished in: IJCNN (2011)
Keyphrases
- recurrent neural networks
- evolutionary algorithm
- particle swarm optimization
- multi objective
- differential evolution
- population diversity
- chaotic time series
- neural network
- particle swarm
- feed forward
- pso algorithm
- evolutionary computation
- prediction accuracy
- recurrent networks
- genetic algorithm
- multi objective optimization
- echo state networks
- reservoir computing
- global optimization
- fitness function
- artificial neural networks
- complex valued
- neural model
- meteorological data
- simulated annealing
- air temperature
- function optimization
- feedforward neural networks
- evolutionary strategy
- particle swarm optimization algorithm
- prediction model
- swarm intelligence
- particle swarm optimization pso
- convergence speed
- ant colony optimization
- optimization algorithm
- cascade correlation
- nonlinear dynamic systems
- genetic programming
- metaheuristic
- decision making
- real time
- fitness values
- genetic algorithm ga
- machine learning
- relative humidity
- crossover operator
- mutation operator