首页|Reports Summarize Machine Learning Findings from Harbin Institute of Technology (A Hybrid Non-parametric Ground Motion Model of Power Spectral Density Based On Machine Learning)
Reports Summarize Machine Learning Findings from Harbin Institute of Technology (A Hybrid Non-parametric Ground Motion Model of Power Spectral Density Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Harbin, People ’s Republic of China, by NewsRx journalists, research stated, “In the fields of engineering seismology and earthquake engineering, researchers have predominantl y focused on ground motion models (GMMs) for intensity measures. However, there has been limited research on power spectral density GMMs (PSD-GMMs) that charact erize spectral characteristics.” Financial supporters for this research include National Key Research & Development Program of China, National Natural Science Foundation of China (NSFC ).
HarbinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesEngineeringMachine LearningHarbin Institut e of Technology
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