A Novel Recursive Model Based on a Convolutional Long Short-Term Memory Neural Network for Air Pollution Prediction.
Weilin WangWenjing MaoXueli TongGang XuPublished in: Remote. Sens. (2021)
Keyphrases
- air pollution
- neural network
- recurrent neural networks
- long short term memory
- prediction model
- air quality
- prediction accuracy
- network architecture
- chaotic time series
- traffic volume
- fuzzy logic
- hidden layer
- artificial neural networks
- genetic algorithm
- decision making
- multi layer perceptron
- pattern recognition
- machine learning
- radial basis function
- feed forward
- spatial information
- simulated annealing
- query processing
- expert systems
- short term prediction
- data sets