Gmm clustering based on woa optimization and space-time coupled urban rail traffic flow prediction by ceemd-se-bigru-am

HIGHLIGHTS

• who: Space-Time Coupled, Urban Rail and Qiong, Jiang from the East China Normal University, Statistics, Shanghai, China have published the research: GMM Clustering Based on WOA Optimization and Space-Time Coupled Urban Rail Traffic Flow Prediction by CEEMD-SE-BiGRU-AM, in the Journal: Mobile Information Systems of 21/08/2022
• what: Compared with the traditional Backpropagation Neural Network (BP) the Long Short-Term Memory (LSTM) and the normal BiGRU model the model proposed in this paper has an average reduction of 65.90% 64.54% and 49.06% in Mean Absolute Percentage Error . . .
  

   

  

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