首页|New Machine Learning Findings from Royal Melbourne Institute of Technology - RMI T University Discussed (Machine Learningassisted Vibration Analysis of Graphene -origami Metamaterial Beams Immersed In Viscous Fluids)
New Machine Learning Findings from Royal Melbourne Institute of Technology - RMI T University Discussed (Machine Learningassisted Vibration Analysis of Graphene -origami Metamaterial Beams Immersed In Viscous Fluids)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Bundoora, Australia , by NewsRx correspondents, research stated, “This paper investigatesthe free a nd forced vibration behaviours of functionally graded graphene origamienabled au xetic metamaterial(FG-GOEAM) beams submerged in Newtonian fluids, with a partic ular focus on the understandingof the influence of negative Poisson’s ratio (NP R) on the natural frequencies and dynamic responses ofthe beam. To this end, a novel accurate and efficient machine learning-assisted model based on the genetic programming (GP) algorithm and theoretical formulations is proposed.”
BundooraAustraliaAustralia and New Z ealandCyborgsEmerging TechnologiesMachine LearningRoyal Melbourne Instit ute of Technology - RMIT University
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