A neural network generator for tetrahedral meshes

被引：6
|
作者：
Alfonzetti, S [1 ]
机构：
[1] Univ Catania, Dipartimento Ingn Elettr Elettr & Sist, I-95125 Catania, Italy
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2003年 / 39卷 / 03期
关键词：
automatic mesh generation; finite-element method (FEM); neural networks;
D O I：
10.1109/TMAG.2003.810325
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：1650 / 1653
页数：4
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