首页|Studies from Harbin Institute of Technology Describe New Findings in Machine Lea rning (Machine Learning-based Predictors for Maximum Pile Bending Moment of the Soil-pile-superstructure System In Liquefiable Soils)
Studies from Harbin Institute of Technology Describe New Findings in Machine Lea rning (Machine Learning-based Predictors for Maximum Pile Bending Moment of the Soil-pile-superstructure System In Liquefiable Soils)
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Researchers detail new data in Machine Learning. According to news reporting originating from Heilongjiang, People's R epublic of China, by NewsRx correspondents, research stated, "Accurate and relia ble prediction of the maximum pile bending moment of soil-pile-superstructure sy stem (SPSS) in liquefiable soils is essential for the seismic design. The maximu m pile bending moment can be obtained using experiments that consider only a lim ited number of factors or time-consuming finite element simulations." Financial supporters for this research include National Key R & D Program of China, Research and Development Project of the Ministry of Housing an d Urban-Rural Development, China.
HeilongjiangPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHarbin Institute of Te chnology
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