首页|Data on Machine Learning Detailed by Researchers at Zhejiang University (Fire Re sistance Time Prediction and Optimization of Coldformed Steel Walls Based On Ma chine Learning)
Data on Machine Learning Detailed by Researchers at Zhejiang University (Fire Re sistance Time Prediction and Optimization of Coldformed Steel Walls Based On Ma chine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingfrom Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Many full-scale experimentsand numerical studies have been conducted to determine the fire performance of cold- formed steel(CFS) walls, but these studies are expensive and time consuming. Th is study proposes a machine learning(ML) based framework aiming at accurately p redicting the fire resistance time (FRT) and optimizing thedesign of CFS walls under ISO 834 fire condition.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningZhejiang University
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