首页|Research Results from Southeast University Update Understanding of Machine Learn ing (Exploring the Pedestrian Route Choice Behaviors by Machine Learning Models)
Research Results from Southeast University Update Understanding of Machine Learn ing (Exploring the Pedestrian Route Choice Behaviors by Machine Learning Models)
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 Daily News Daily News - Investigators publish new report on ar tificial intelligence. According to news reporting out of Nanjing, People’s Repu blic of China, by NewsRx editors, research stated, “To investigate pedestrian ro ute choice mechanisms from a perspective distinct from that employed in discrete choice models (DCMs), this study utilizes machine learning models and employs S Hapley Additive exPlanations (SHAP) for model interpretation.”
Southeast UniversityNanjingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
