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The performances of light-weight and the anti-damage are a pair of conflicting optimization goals. Basing on the damage data of explosion simulation, it studies multi-objective optimization of cantilever box girder about lightweight and anti-damage. Firstly, the method of PCA is introduced to mine the damage data of simulation experiments. Secondly -- the regression function about the damage of cantilever...
Generalized discriminant analysis (GDA) is a commonly used method for dimensionality reduction. In its general form, it seeks a nonlinear projection that simultaneously maximizes the between-class dissimilarity and minimizes the within-class dissimilarity to increase class separability. In real-world applications where labeled data are scarce, GDA may not work very well. However, unlabeled data are...
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