A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5: A Case Study of Beijing.
Bo LiuShuo YanJianqiang LiYong LiJianlei LangGuangzhi QuPublished in: IEEE Trans. Comput. Soc. Syst. (2021)
Keyphrases
- recurrent neural networks
- chaotic time series
- neural network
- complex valued
- feed forward
- prediction accuracy
- echo state networks
- reservoir computing
- prediction model
- recurrent networks
- hidden layer
- case study
- artificial neural networks
- hebbian learning
- management system
- long short term memory
- test bed
- spatial and temporal
- space time
- neural model
- artificial intelligence
- nonlinear dynamic systems
- feedforward neural networks
- prediction algorithm
- spatio temporal
- prediction error
- knowledge base
- waste management
- genetic algorithm
- machine learning