Imputation of Missing Data in Time Series for Air Pollutants Using Long Short-Term Memory Recurrent Neural Networks.
Hongwu YuanGuoming XuZijian YaoJi JiaYiwen ZhangPublished in: UbiComp/ISWC Adjunct (2018)
Keyphrases
- recurrent neural networks
- missing data
- long short term memory
- chaotic time series
- echo state networks
- missing values
- multiple imputation
- neural network
- incomplete data
- feed forward
- artificial neural networks
- structure from motion
- low rank
- feedforward neural networks
- reservoir computing
- recurrent networks
- matrix factorization
- data imputation
- motion segmentation
- cascade correlation
- fuzzy logic
- nonlinear dynamic systems
- learning algorithm
- imputation methods
- phase space
- missing information
- statistical databases