Title :
A neural network generator for tetrahedral meshes
Author :
Alfonzetti, Salvatore
Author_Institution :
Dipt. di Ingegneria Elettrica, Univ. di Catania, Italy
fDate :
5/1/2003 12:00:00 AM
Abstract :
An automatic mesh generator for tetrahedral finite elements, based on an artificial neural network, is described. Starting from an initial moderately coarse mesh, the generator grows the mesh up to the user-specified number of nodes. The growth is driven by a node probability density function, which is piecewise constant on the initial tetrahedra and expresses the user´s expertise on the problem. The generator takes the mesh quality into account in several parts, so that high-quality meshes are obtained.
Keywords :
mesh generation; neural nets; piecewise constant techniques; probability; finite elements; high-quality meshes; mesh quality; moderately coarse mesh; neural network generator; node probability density function; piecewise constant; tetrahedral meshes; user-specified number; Artificial neural networks; Computational geometry; Costs; Electromagnetic fields; Finite element methods; Mesh generation; Neural networks; Probability density function; Problem-solving; Two dimensional displays;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2003.810325
