首页|Study Results from Harbin Institute of Technology Update Understanding of Machin e Learning (Real-time Seismic Damage Simulation for Urban Building Portfolio Bas ed On Basic Building Information and Machine Learning)
Study Results from Harbin Institute of Technology Update Understanding of Machin e Learning (Real-time Seismic Damage Simulation for Urban Building Portfolio Bas ed On Basic Building Information and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Current study results on Machine Learn ing have been published. According to newsreporting out of Harbin, People’s Rep ublic of China, by NewsRx editors, research stated, “Timely andaccurate simulat ion of seismic damage of the urban building portfolio is essential for pre-earth quakeplanning and post-earthquake rescue. This study proposes a real-time seism ic damage simulation methodfor the urban building portfolio based on the multip le degree-offreedom (MDOF) shear and flexural-shearmodel established by basic b uilding information and machine learning.”
HarbinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHarbin Institute of Technology
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