首页|Research Conducted at Southeast University Has Updated Our Knowledge about Machi ne Learning (Life-cycle Seismic Performance Analysis of an Offshore Small-to-med ium Span Bridge Based On Interpretable Machine Learning)
Research Conducted at Southeast University Has Updated Our Knowledge about Machi ne Learning (Life-cycle Seismic Performance Analysis of an Offshore Small-to-med ium Span Bridge Based On Interpretable Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating from Nanjing, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“In earthqua ke-prone offshore regions, small-to-medium-span bridges undergo significant dete rioration inseismic performance due to chloride corrosion and aging impact over their service life. To address thisconcern, this paper proposes an interpretab le machine-learning framework to assess the life-cycle seismicperformance of of fshore small-to-medium-span bridges.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSoutheast University
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