Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow.
Yuxin HeLishuai LiXinting ZhuKwok Leung TsuiPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- short term
- long term
- passenger flow
- forecasting model
- neural network
- long short term memory
- load forecasting
- chaotic time series
- feed forward
- artificial neural networks
- stock market
- medium term
- short term and long term
- short and long term
- reservoir computing
- complex valued
- echo state networks
- hidden layer
- neural model
- recurrent networks
- electric load forecasting
- wind speed
- arima model
- long term memory
- power generation
- network architecture
- distributed artificial intelligence
- knn
- genetic algorithm