Researchers at Shenzhen University Release New Data on Machine Learning (Analysis of the Relationship Between Metro Ridership and Built Environment: a Machine Learning Method Considering Combinational Features)

Robotics & Machine Learning Daily News2024，Issue(Feb.12) ：73-74.DOI:10.1016/j.tust.2023.105564

来源：

NETL
NSTL
Elsevier

Researchers at Shenzhen University Release New Data on Machine Learning (Analysis of the Relationship Between Metro Ridership and Built Environment: a Machine Learning Method Considering Combinational Features)

扫码查看

Abstract

A new study on Machine Learning is now available. According to news reporting out of Shenzhen, People's Republic of China, by NewsRx editors, research stated, "Limited studies have examined the relationship between combinational features of the built environment and metro ridership. In this study, we applied the gradient boosting regression tree (GBRT) to explore the non-linearity effects for metro commuter ridership and non-commuter ridership, respectively." Financial support for this research came from National Natural Science Foundation of China (NSFC).

Key words

Shenzhen/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Shenzhen University

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

参考文献量64

段落导航