【論文筆記】A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction
【論文筆記】A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction 問題: 具有高時空分辨率的交通事故風險預測困難 複雜的交通環境， 人類行爲 缺乏實時的交通相關數據。 交通事故的動態性 本文成果 本文收集了重大交通事故數據，建立了基於循環神經網絡的交通事故風險預測深度模型。通過分析交通事故頻發的時空模式，
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相關文章
- 1. 論文筆記：Learning how to Active Learn: A Deep Reinforcement Learning Approach
- 2. On the prediction of DNA-binding proteins only from primary sequences: A deep learning approach論文筆記
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