DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction.
Shajia ShanZiyu ShenBin XiaZheng LiuYun LiPublished in: ICONIP (3) (2020)
Keyphrases
- recurrent neural networks
- long short term memory
- feed forward
- complex valued
- neural network
- echo state networks
- reservoir computing
- recurrent networks
- neuro fuzzy
- feedforward neural networks
- artificial neural networks
- neural model
- spatial and temporal
- hidden layer
- space time
- artificial intelligence
- spatio temporal
- training phase
- probabilistic model
- moving objects
- reinforcement learning
- chaotic time series
- nonlinear dynamic systems
- learning algorithm
- real time