首页|Studies from Chang’an University Describe New Findings in Machine Learning (Exploring User Satisfaction and Improvement Priorities In Electric Vehicle Segments)
Studies from Chang’an University Describe New Findings in Machine Learning (Exploring User Satisfaction and Improvement Priorities In Electric Vehicle Segments)
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 Learning have been published. According to newsreporting originating in Shaanxi, People’s Republic of China, by NewsRx journalists, research stated, “Thisstudy is the first to explore satisfaction and asymmetry in full- and mini-sized electric vehicles (Mini EVs).An integrated framework, SI Gap-ML-IG (Satisfaction Importance Gap-Machine Learning-Importance Grid),is proposed to identify factor attributes, asymmetric effects, and improvement priorities.”
ShaanxiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChang’an University
NETL
NSTL
