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- W2073600837 abstract "An automatic mesh generator, SOFT (self-organizing finite-element tessellation), based on self-organizing neural networks has been demonstrated. With user-supplied mesh density function and boundary mesh, this mesh generator provides a graded mesh, with asymptotic characteristics quite similar to weighted Dirichlet tessellation and dual Delaunay triangulation. Local mesh restrictions such as fixed boundary and/or internal meshes are easily incorporated in this mesh generator. Although the algorithm is applicable to general n-dimensional meshes, two-dimensional rectangular and triangular meshes are presented for simplicity.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
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- W2073600837 date "1991-09-01" @default.
- W2073600837 modified "2023-10-03" @default.
- W2073600837 title "A self-organizing neural network approach for automatic mesh generation" @default.
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- W2073600837 doi "https://doi.org/10.1109/20.105028" @default.
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