Figure 10 - available via license: Creative Commons Attribution 4.0 International
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Confusion matrices for polygons classification. Left: the number of classes is = 6 and the target classes vary from L = 3 (triangles) to L = 8 (octagons). Right: the number of classes is = 4 and the target classes vary from L = 3 (triangles) to L = 6 (hexagons). The prediction accuracy for each target class decreases as more target classes are considered.
Source publication
We propose new strategies to handle polygonal grids refinement based on Convolutional Neural Networks (CNNs). We show that CNNs can be successfully employed to identify correctly the "shape" of a polygonal element so as to design suitable refinement criteria to be possibly employed within adaptive refinement strategies. We propose two refinement st...
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