首页|Investigators from Zhejiang University Release New Data on Machine Learning (A N ovel Machine-learning Based Framework for Calibrating Micromechanical Fracture M odel of Ultra-low Cycle Fatigue In Steel Structures)
Investigators from Zhejiang University Release New Data on Machine Learning (A N ovel Machine-learning Based Framework for Calibrating Micromechanical Fracture M odel of Ultra-low Cycle Fatigue In Steel Structures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingin Hangzhou, People’s Republi c of China, by NewsRx journalists, research stated, “Calibratingmicromechanical fracture model of ultra-low cycle fatigue (ULCF) life in steel structures typic ally involveslaborious and time-consuming tests of structural steels. In respon se, this paper presents a novel frameworkfor calibrating the micromechanical fr acture model using the predicted ULCF life of structural steels frommachine lea rning (ML) model.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningZhejiang University
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