首页|Study Results from Beihang University Provide New Insights into Machine Learning (A Tensile Properties-related Fatigue Strength Predicted Machine Learning Frame work for Alloys Used In Aerospace)

Study Results from Beihang University Provide New Insights into Machine Learning (A Tensile Properties-related Fatigue Strength Predicted Machine Learning Frame work for Alloys Used In Aerospace)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting originating in Beijing, People's R epublic of China, by NewsRx journalists, research stated, "A tensile properties- related fatigue strength prediction framework based on machine learning (ML) met hods was proposed. Firstly, 200 data containing six materials used in aerospace were collected." Financial supporters for this research include China Postdoctoral Science Founda tion, National Postdoctoral Program for Innovative Talent.

BeijingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningBeihang University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.18)