Artificial Neural Networks Applied to Taxi Destination Prediction 總結
論文：Artificial Neural Networks Applied to Taxi Destination Prediction 論文背景：ECML/PKDD會議上關於預測出租車目的地的挑戰賽。 任務：基於出租車初始軌跡及各種相關的元數據（出發時間、司機ID、乘客信息）預測其目的地。 模型：多層感知器網絡(MLP)、雙向循環神經網絡(BRNN)、記憶網絡(MN) 數據集：數據集由442輛出
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相關文章
- 1. Artificial Neural Networks Applied to Taxi Destination Prediction（閱讀筆記）20171207
- 2. Neural NILM: Deep Neural Networks Applied to Energy Disaggregation
- 3. Introduction To Neural Networks
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