A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction

@article{Liang2019ADS,
  title={A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction},
  author={Xiaoyuan Liang and Guiling Wang and Martin Renqiang Min and Yi Qi and Zhu Han},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.05614}
}
In spite of its importance, passenger demand prediction is a highly challenging problem, because the demand is simultaneously influenced by the complex interactions among many spatial and temporal factors and other external factors such as weather. To address this problem, we propose a Spatio-TEmporal Fuzzy neural Network (STEF-Net) to accurately predict passenger demands incorporating the complex interactions of all known important factors. We design an end-to-end learning framework with… 

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