Research Article
Short-Term Traffic Flow Prediction: A Method of Combined Deep Learnings
| | Input: the predicted value of different single model at time and actual data yt | | | Output: combined prediction value | | (1) | begin | | (2) | calculate the prediction error of the i th prediction method by equation (15) | | (3) | fordo | | (4) | construct the combined prediction information error matrix by equation (20) | | (5) | R ← | | (6) | calculate inverse matrix | | (7) | calculate optimal weights by equation (21) | | (8) | calculate combination prediction results by equation (16) | | (9) | output | | (10) | end | | (11) | end |
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