首页|New Machine Learning Study Findings Have Been Reported by Investigators at South east University (Machine Learning-based Models for Predicting the Progressive Co llapse Resistance of Truss String Structures)
New Machine Learning Study Findings Have Been Reported by Investigators at South east University (Machine Learning-based Models for Predicting the Progressive Co llapse Resistance of Truss String Structures)
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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 originating in Nanjing, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Evaluating the progressive collapse resistance of truss string structures (TSSs) in the contex t of key member failure presents a significant challenge, particularly when this indicator is crucial during structural design and performance evaluation proces ses. Fortunately, machine learning (ML) methods can establish complex and nonlin ear relationships between input and output variables during structural performan ce evaluation.” Financial supporters for this research include National Key Research and Develop ment Program of China, National Natural Science Foundation of China (NSFC).
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSoutheast University
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