首页|Reports Outline Machine Learning Findings from Beihang University (A Novel Damag e Mechanics and Xgboost Based Approach for Hcf Life Prediction of Cast Magnesium Alloy Considering Internal Defect Characteristics)
Reports Outline Machine Learning Findings from Beihang University (A Novel Damag e Mechanics and Xgboost Based Approach for Hcf Life Prediction of Cast Magnesium Alloy Considering Internal Defect Characteristics)
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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, “In this study, a novel met hod integrating machine learning with damage mechanics is proposed for predictin g the high cycle fatigue life of ZM6 with internal defects. First, the character ization model of the effects of internal defects is presented, and the relations hip between the stress concentration factor and the parameters of the ellipsoida l void is established.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningBeihang University
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