机译:短期客流预测:以深圳地铁为例
China Elect Technol Grp Corp Key Lab Publ Safety Emergency Informat Technol An Res Inst 38 Beijing 230000 Peoples R China|City Univ Hong Kong Dept Syst Engn & Engn Management Hong Kong Peoples R China;
City Univ Hong Kong Ctr Syst Informat Engn Hong Kong Peoples R China;
Rutgers State Univ Dept Stat & Biostat New Brunswick NJ 07102 USA;
Southwest Jiaotong Univ Dept Safety Engn Sch Transportat & Logist Chengdu 610000 Sichuan Peoples R China;
City Univ Hong Kong Dept Syst Engn & Engn Management Hong Kong Peoples R China;
Short-term passenger flow forecasting; multivariate linear regression; SVR (support vector regression); feature extraction; time series;
机译:基于经验模态分解和神经网络的地铁短期客流预测
机译:基于季节性和非线性LSSVM预测全天候短期地铁客流
机译:使用集合混沌支持向量回归的短期地铁乘客流量预测
机译:改进卡尔曼滤波方法的地铁站台客流短期预测
机译:对《财务会计准则第131号:对未来现金流量的预测和财务分析师的现金流量预测准确性的影响》进行的实证研究。
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