Prediction of air particulate matter in Beijing, China, based on the improved particle swarm optimization algorithm and long short-term memory neural network.
Shengwei WangPing LiHao JiYulin ZhanHonghong LiPublished in: J. Intell. Fuzzy Syst. (2021)
Keyphrases
- particle swarm optimization algorithm
- neural network
- recurrent neural networks
- long short term memory
- prediction model
- particle swarm optimization
- improved pso algorithm
- particle swarm
- wavelet neural network
- prediction accuracy
- convergence speed
- pso algorithm
- global search
- chaotic time series
- inertia weight
- multilevel thresholding
- estimation of distribution algorithms
- artificial neural networks
- multi layer perceptron
- fuzzy logic
- elman network
- artificial bee colony algorithm
- bp neural network
- feed forward
- neural network model
- back propagation
- evolution strategy
- evolutionary algorithm
- multi objective
- computer simulation
- optimization problems
- genetic algorithm
- machine learning