机译:PSO-ELM:短期交通流预测的混合学习模型
Shantou Univ Dept Comp Sci Coll Engn Shantou 515063 Peoples R China|Shantou Univ Minist Educ Key Lab Intelligent Mfg Technol Shantou 515063 Peoples R China|Tongxing Technol Dev Corp Big Data Res Inst Shantou 515000 Peoples R China;
Shantou Univ Dept Comp Sci Coll Engn Shantou 515063 Peoples R China;
Shantou Univ Dept Comp Sci Coll Engn Shantou 515063 Peoples R China;
Hong Kong Polytech Univ Ctr Smart Hlth Sch Nursing Hong Kong Peoples R China;
Shantou Univ Dept Comp Sci Coll Engn Shantou 515063 Peoples R China|Shantou Univ Minist Educ Key Lab Intelligent Mfg Technol Shantou 515063 Peoples R China|Hong Kong Polytech Univ Ctr Smart Hlth Sch Nursing Hong Kong Peoples R China;
Hong Kong Polytech Univ Ctr Smart Hlth Sch Nursing Hong Kong Peoples R China;
Short-term traffic flow forecasting; extreme learning machine; particle swarm optimization; time-series model;
机译:SVRGSA:基于混合学习的短期交通流量预测模型
机译:混合人工神经网络和局部加权回归模型用于基于车道的短期城市交通流量预测
机译:基于神经网络的短期交通流量预测模型,采用混合指数平滑和Levenberg-Marquardt算法
机译:基于统计学习理论的短期交通流量预测模型研究
机译:深度学习短期网络广播道路交通预测
机译:基于奇异谱分析和核极限学习机的混合短时交通流预测模型
机译:基于神经网络的基于网络的短期交通流预测使用混合指数平滑和Levenberg-Marquardt算法