Geometric algebra based recurrent neural network for multi-dimensional time-series prediction

HIGHLIGHTS

  • who: Yanping Li from the East China Normal University, China have published the paper: Geometric algebra based recurrent neural network for multi-dimensional time-series prediction, in the Journal: (JOURNAL)
  • how: This paper proposes new geometric algebra based recurrent neural_network (GA-RNN) and geometric algebra based long-and short-term time-series network (GA-LSTM) and constructs a new geometric algebra based long-and shortterm time-series network (GA-LSTNet). As shown in Table 1 Traffic records the occupancy rates measured by simultaneous interpreting 862 different sensors on the San Francisco Bay expressway within 2 . . .

     

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