A self-organizing neural network approach for automatic mesh generation
Chang-Hoi Ahn, Sang‐Soo Lee, Lee Hyuek-Jae, Soo-Young Lee · IEEE Transactions on Magnetics · 1991
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.>