机译:基于季节性和非线性LSSVM预测全天候短期地铁客流
South China Univ Technol Sch Civil Engn & Transportat Guangzhou 510641 Guangdong Peoples R China;
South China Univ Technol Sch Civil Engn & Transportat Guangzhou 510641 Guangdong Peoples R China|South China Univ Technol State Key Lab Subtrop Bldg Sci Guangzhou Guangdong Peoples R China;
South China Univ Technol Sch Civil Engn & Transportat Guangzhou 510641 Guangdong Peoples R China;
South China Univ Technol Sch Civil Engn & Transportat Guangzhou 510641 Guangdong Peoples R China;
South China Univ Technol Sch Civil Engn & Transportat Guangzhou 510641 Guangdong Peoples R China;
seasonal and nonlinear least square support vector machine; short-term subway passenger flow prediction; multi-model fusion prediction; time series;
机译:基于MIC特征选择的轨道交通站和ST-LIGHTGBM考虑转换乘客的短期客运
机译:基于GA-PSO混合算法优化LSSVM模型的短期交通流量预测方法
机译:GA-PSO混合算法优化的基于LSSVM模型的短期交通流量预测方法
机译:基于Holt-Winters季节性方法的城市轨道交通短期客流预测
机译:用季节性向季节性流流程预测提高水库管理
机译:校正:基于经验模式分解的短期短期内存神经网络预测模型的短期地铁乘客流量
机译:基于经验模式分解的短期内记忆神经网络预测模型短期地铁乘客流量