Time series prediction with missing values: a bidirectional fully connected neural network approach

Author:

Ouyang Jiangang1,Li Tao1,Li Qian1

Affiliation:

1. Nanchang University,College of Advanced Manufacturing,Nanchang,China,330031

Publisher

IEEE

Reference15 articles.

1. Time series estimation based on deep Learning for structural dynamic nonlinear prediction[J];hong;Structure,2021

2. Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

3. BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series[J];qinfen;Computers in Biology and Medicine,2023

4. Airport flight ground service time prediction with missing data using graph convolutional neural network imputation and bidirectional sliding mechanism[J];chang;Applied Soft Computing Joumal,2023

5. Recurrent neural networks for atmospheric noise removal from InSAR time series with missing values[J];zhuoyi;ISPRS Journal of Photogrammetry and Remote Sensing,2021

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