机译:基于完整集合经验分解和极端梯度升压的车道级交通流量预测混合模型
Southeast Univ Sch Transportat Nanjing 211189 Peoples R China|Southeast Univ Joint Res Inst Internet Mobil Nanjing 211189 Peoples R China|Southeast Univ Univ Wisconsin Madison Nanjing 211189 Peoples R China|Southeast Univ Jiangsu Key Lab Urban ITS Nanjing 211189 Peoples R China;
Southeast Univ Sch Transportat Nanjing 211189 Peoples R China|Southeast Univ Joint Res Inst Internet Mobil Nanjing 211189 Peoples R China|Southeast Univ Univ Wisconsin Madison Nanjing 211189 Peoples R China|Southeast Univ Jiangsu Key Lab Urban ITS Nanjing 211189 Peoples R China;
Southeast Univ Sch Transportat Nanjing 211189 Peoples R China|Southeast Univ Joint Res Inst Internet Mobil Nanjing 211189 Peoples R China|Southeast Univ Univ Wisconsin Madison Nanjing 211189 Peoples R China|Southeast Univ Jiangsu Key Lab Urban ITS Nanjing 211189 Peoples R China;
Southeast Univ Sch Transportat Nanjing 211189 Peoples R China|Southeast Univ Joint Res Inst Internet Mobil Nanjing 211189 Peoples R China|Southeast Univ Univ Wisconsin Madison Nanjing 211189 Peoples R China|Southeast Univ Jiangsu Key Lab Urban ITS Nanjing 211189 Peoples R China;
Beijing Jiaotong Univ Key Lab Transport Ind Big Data Applicat Technol C Minist Transport Beijing 100044 Peoples R China;
Predictive models; Forecasting; Roads; Data models; Empirical mode decomposition; Boosting; Adaptation models; Data mining; lane-level traffic flow; short-term prediction; hybrid model; extreme gradient boosting; complete ensemble empirical mode decomposition; urban expressways;
机译:通过结合改进的整体集成经验模式分解的极限学习机模型进行重要的波高预测
机译:一种基于模式序列的匹配方法的混合预测模型和假期负荷预测的极限梯度升压
机译:基于变分模式分解和梯度Boosting回归树的月径流混合模型
机译:基于极限学习机和完整集成经验模态分解的风速预测模型
机译:Xtreme-Noc:基于极端梯度促进网络的片上架构延迟模型
机译:通过互补集合经验模式分解和极端梯度升压检测EEG信号中的癫痫癫痫发作