首页|Researchers at Nanjing University of Aeronautics and Astronautics Target Machine Learning (A Novel Version of Hierarchical Genetic Algorithm and Its Application for Hyperparameters Optimization In Cnn Models for Structural Delamination ...)
Researchers at Nanjing University of Aeronautics and Astronautics Target Machine Learning (A Novel Version of Hierarchical Genetic Algorithm and Its Application for Hyperparameters Optimization In Cnn Models for Structural Delamination ...)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news originating fromNanjing, People’s Republic of Chi na, by NewsRx correspondents, research stated, “This paper proposesa novel appr oach for modelling the dynamic characteristics of composite laminated structures . Theproposed numerical model employs the first-order shear deformation theory (FSDT) in combination withnon-uniform rational B-splines (NURBS) to accurately capture the behavior of the laminated plate.”
NanjingPeople’s Republic of ChinaAsi aAlgorithmsCy-borgsEmerging TechnologiesGenetic AlgorithmsGeneticsMac hine LearningNanjing University of Aeronautics and Astronautics
NETL
NSTL
