首页|Recent Findings in Machine Learning Described by Researchers from Harbin Institu te of Technology (Prediction of Damage Potential In Mainshock-aftershock Sequenc es Using Machine Learning Algorithms)
Recent Findings in Machine Learning Described by Researchers from Harbin Institu te of Technology (Prediction of Damage Potential In Mainshock-aftershock Sequenc es Using Machine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing.According to news reporting originating in Harbin, People’s Republic of Chi na, by NewsRx journalists, research stated, “Assessing the potential damage caus ed by earthquakes is crucial for a community’s emergency response.In this study , four machine learning (ML) methods-random forest, extremely randomized trees, AdaBoost (AB), and gradient boosting (GB)-were employed to develop prediction mo dels for the damage potential of the mainshock (DIMS) and mainshock-aftershock s equences (DIMA).”
HarbinPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningHarbin Institute of Technology
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