首页|New Machine Learning Study Findings Reported from Dalian University of Technology (Predicting Peak Deviatoric Stress of Gravels With a Novel Segmented Feature Transformation Approach)
New Machine Learning Study Findings Reported from Dalian University of Technology (Predicting Peak Deviatoric Stress of Gravels With a Novel Segmented Feature Transformation Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsreporting out of Liaoning, People’s Republic of China, by NewsRx editors, research stated, “The assessmentof peak deviatoric stress (qpeak) in gravels is crucial for engineering stability and safety. Due to the variousinfluencing factors and the limited available samples, present empirical methods and conventional machinelearning algorithms have limitations in generalization capability and achieving high performance in thiscomplex relationship.”
LiaoningPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningDalian University of Technology
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