首页|Study Results from Harbin Institute of Technology Provide New Insights into Mach ine Learning (Multicase structural damage classification based on semisupervised generative adversarial network)
Study Results from Harbin Institute of Technology Provide New Insights into Mach ine Learning (Multicase structural damage classification based on semisupervised generative adversarial network)
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 – Investigators discuss new findings in artificial intelligence. According to news reportingfrom Shenzhen, People’s Rep ublic of China, by NewsRx journalists, research stated, “With the rapid development of computer science and the need for structural safety assessment, structura l health monitoring(SHM) systems are widely used in structures. SHM systems pri marily rely on sensor systems to collect datarelated to structural safety condi tions, which are then analyzed and assessed for performance evaluation.”
Harbin Institute of TechnologyShenzhenPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Lear ning
NETL
NSTL
