首页|Data on Machine Learning Reported by Researchers at La Trobe University (Machine -learning-based Predictive Models for Concrete-filled Double Skin Tubular Column s)
Data on Machine Learning Reported by Researchers at La Trobe University (Machine -learning-based Predictive Models for Concrete-filled Double Skin Tubular Column s)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news originatingfrom Bundoora, Australia, by NewsRx co rrespondents, research stated, “This paper aims to develop aunique artificial n eural network (ANN)-based equation as well as MATLAB- and Python-based graphicaluser interfaces (GUIs) using the most comprehensive and up-to-date database for predicting the behaviourof axially loaded concrete-filled double skin tubular (CFDST) short and slender columns with normalandhigh-strength materials. Two machine learning (ML) methods, which are ANN and extreme gradientboosting (XGBo ost), are trained and tested using 1721 sets of data, with 129 of them collected fromexperimental studies and 1592 generated by finite element (FE) simulations .”
BundooraAustraliaAustralia and New Z ealandCyborgsEmerging TechnologiesMachine LearningLa Trobe University
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