首页|Researchers from Chongqing University Report Recent Findings in Machine Learning (Explainable Machine Learning-based Prediction for Aerodynamic Interference of a Low-rise Building On a High-rise Building)
Researchers from Chongqing University Report Recent Findings in Machine Learning (Explainable Machine Learning-based Prediction for Aerodynamic Interference of a Low-rise Building On a High-rise Building)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting from Chongqing, People's Republic o f China, by NewsRx journalists, research stated, "Interference effects between b uildings may significantly change the wind pressure distribution on building fac ades and cause severe safety problems. In this study, a two-stage machine learni ng-based method was employed to investigate the interference effects of a low-ri se building on a high-rise building." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Ministry of Education, China - 111 Project, Graduate researc h and innovation foundation of Chongqing, China, Natural Science Foundation of C hongqing, Fundamental Research Funds for the Central Universities.
ChongqingPeople's Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningChongqing University