A Long Short-Term Memory Neural Network for Daily NO2 Concentration Forecasting.
Bingchun LiuXiaogang YuQingshan WangShijie ZhaoLei ZhangPublished in: Int. J. Inf. Technol. Web Eng. (2021)
Keyphrases
- recurrent neural networks
- long short term memory
- neural network
- fermentation process
- chaotic time series
- artificial neural networks
- short term load forecasting
- feed forward
- prediction model
- back propagation
- backpropagation neural networks
- mackey glass
- hidden layer
- short term
- pattern recognition
- feedforward neural networks
- bp neural network
- feed forward neural networks
- associative memory
- forecasting model
- genetic algorithm
- neural network is trained
- support vector regression
- activation function
- backpropagation neural network
- neural network model
- grey theory
- data sets
- forecasting accuracy
- daily activities
- predictive model
- multi layer