Intelligent slime mould optimization with deep learning enabled traffic prediction in smart cities

HIGHLIGHTS

  • who: CMC and collaborators from the Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj, Saudi Arabia have published the research work: Intelligent Slime Mould Optimization with Deep Learning Enabled Traffic Prediction in Smart Cities, in the Journal: (JOURNAL)
  • what: With this motivation this study introduces a novel Slime Mould Optimization (SMO) model with Bidirectional Gated Recurrent Unit (BiGRU) model for Traffic Prediction (SMOBGRU-TP) in smart cities.
  • how: In this final stage SMO algorithm is utilized for fine tuning the hyper-variables of BiGRU model .
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