Research Article
A Destination Prediction Network Based on Spatiotemporal Data for Bike-Sharing
Algorithm 2
Destination prediction training algorithm.
Input:construct,, | from candidate set | Output: Learned Destination Prediction Model | 1:Initial the parameters in the networks | 2:Repeat | 3:input into the LSTM and get | 4:input into the CNN and get | 5:input into the FCNN and get | 6:find the best with a cross-entropy loss function | 7:Until get the best |
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