首页|Findings from Sichuan University Yields New Data on Machine Learning (An Enhance d Hybrid Approach for Spatial Distribution of Seismic Liquefaction Characteristi cs By Integrating Physics-based Simulation and Machine Learning)
Findings from Sichuan University Yields New Data on Machine Learning (An Enhance d Hybrid Approach for Spatial Distribution of Seismic Liquefaction Characteristi cs By Integrating Physics-based Simulation and Machine 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 originatingfrom Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “This study aimsto propose a n enhanced hybrid approach that combines physics-based simulation and machine le arningto investigate the spatial distribution of seismic liquefaction character istics. This innovative approachcomprises two main components: Firstly, the phy sics-based frequency-wavenumber method is employedto construct the spatial-temp oral field of ground motion in the study area, which provides ground motionquan tities for assessing the liquefaction characteristic (e.g., liquefaction potenti al index) of the site.”
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSichuan University
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