Ncae and elm based enhanced ensemble optimized model for traffic flow forecasting

HIGHLIGHTS

• who: NCAE et al. from the of Information Science and Engineering, Xinjiang University, Ürümqi, China have published the paper: NCAE and ELM Based Enhanced Ensemble Optimized Model for Traffic Flow Forecasting, in the Journal: (JOURNAL) of September/11,/2015
• what: The authors propose a novel model forecasting architecture on non-negative constrained sparse autoencoder and extreme learning machine(NCAE-ELM-EA). The model was applied to the actual data collected from I5 NB highways in Portland USA and J6-J7(N) freeways in the United Kingdom with higher accuracy and lower labor costs compared . . .
  

   

  

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