首页|Studies from Harbin Institute of Technology Yield New Information about Machine Learning (Machine-learning-assisted Design of High Strength Steel I-section Colu mns)
Studies from Harbin Institute of Technology Yield New Information about Machine Learning (Machine-learning-assisted Design of High Strength Steel I-section Colu mns)
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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 from Harbin, People's Repub lic of China, by NewsRx journalists, research stated, "High strength steel has b een attracting attention in the building industry due to its superior mechanical properties. The accurate design of high strength steel structures is crucial to boost its wide application." The news correspondents obtained a quote from the research from the Harbin Insti tute of Technology, "In this paper, an accurate and unified design approach for high strength steel I -section columns with different material grades, boundary conditions, geometric dimensions (including cross-section sizes and member lengt hs) and failure modes is proposed based on machine learning. Firstly, 871 experi mental and numerical data were collected from the literature to establish a data base. Then, seven machine learning algorithms, including Decision Tree, Random F orest, Support Vector Machine, K -Nearest Neighbour, Adaptive Boosting, Extreme Gradient Boosting and Categorical Boosting, were applied to establish machine le arning regression models to predict buckling resistances of high strength steel I -section columns. The model performance was then evaluated through statistic i ndices, with the evaluation results indicating that the Categorical Boosting tra ined model yields the highest level of accuracy. Based on the data in the collec ted database, the regression model trained by Categorical Boosting and existing codified design provisions, as given in the European code and American specifica tion, were assessed and compared."
HarbinPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHarbin Institute of Technolo gy
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