L G ] 2 4 D ec 2 01 7 Neural Network Multitask Learning for Traffic Flow Forecasting

@inproceedings{Jin2018LG,
  title={L G ] 2 4 D ec 2 01 7 Neural Network Multitask Learning for Traffic Flow Forecasting},
  author={Feng Jin and Shiliang Sun},
  year={2018}
}
Traditional neural network approaches for traffic flow forecasting are usually single task learning (STL) models, which do not take advantage of the information provided by related tasks. In contrast to STL, multitask learning (MTL) has the potential to improve generalization by transferring information in training signals of extra tasks. In this paper, MTL based neural networks are used for traffic flow forecasting. For neural network MTL, a backpropagation (BP) network is constructed by… CONTINUE READING

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