The city taxi quantity prediction via GM-BP model

@article{Xuewu2015TheCT,
  title={The city taxi quantity prediction via GM-BP model},
  author={Zhang Xuewu and Liu Yongjun},
  journal={2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)},
  year={2015},
  pages={1594-1598}
}
Influenced by many factors, the variation process of city taxi quantity is nonlinear, grey and random. So, the single prediction model can only reflect part information of variation process, and its prediction accuracy is low. In order to improve prediction accuracy, the grey neural network method is put forward based on the analysis of city taxi quantity… CONTINUE READING