首页|Findings from Beijing Jiaotong University in the Area of Machine Learning Report ed (Built Environment’s Non-linear Impact On Subway Passenger Flow Through Impro ved Interpretable Machine Learning)
Findings from Beijing Jiaotong University in the Area of Machine Learning Report ed (Built Environment’s Non-linear Impact On Subway Passenger Flow Through Impro ved Interpretable Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating in Beijing, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Understanding the complex correlation between the built environment and subway passenger flow canprovide unique insights for the development of transportation operations and urban coordination policies.Few studies have systematically analyzed the ratio nality of selecting built environment variables and furtherexplored the non-lin ear relationships.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningBeijing Jiaotong University
NETL
NSTL
