首页|Researchers at Beijing University of Technology Report New Data on Machine Learn ing (Multi-source Driven Estimation of Earthquake Economic Losses: a Comprehensi ve and Interpretable Ensemble Machine Learning Model)
Researchers at Beijing University of Technology Report New Data on Machine Learn ing (Multi-source Driven Estimation of Earthquake Economic Losses: a Comprehensi ve and Interpretable Ensemble Machine Learning Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting out of Beijing, People’s Re public of China, by NewsRx editors, research stated, “Rapid and precise quantifi cation of economic losses post -earthquake is critical for crafting informed dis aster management strategies by governmental and insurance entities. This study i ntroduces an ensemble model, constituted by Support Vector Machines (SVM) and Ex treme Gradient Boosting (XGBoost), tailored for quick and interpretative predict ion of GDP -related seismic loss assessments, with Sichuan Province serving as t he empirical backdrop.” Funders for this research include National Key R&D Program of China , Ministry of Education, China - 111 Project.
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningBeijing University of Techn ology
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