Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks.
Lei BaiLina YaoSalil S. KanhereZheng YangJing ChuXianzhi WangPublished in: PAKDD (2) (2019)
Keyphrases
- recurrent neural networks
- multi task
- demand forecasting
- multi task learning
- historical data
- learning tasks
- feed forward
- neural network
- supply chain
- multi class
- feature selection
- gaussian processes
- learning problems
- artificial neural networks
- transfer learning
- echo state networks
- sparse coding
- information gain
- knowledge discovery
- genetic algorithm
- data mining
- hybrid model
- decision making
- multiple kernel learning
- water resources
- forecasting accuracy