Automatic mesh generation by the let-it-grow neural network

Author

Alfonzetti, S. ; Coco, S. ; Cavalieri, S. ; Malgeri, M.

Author_Institution

Dipartimento Elettrico Elettronico e Sistemistico, Catania Univ., Italy

Volume

32

Issue

3

fYear

1996

fDate

5/1/1996 12:00:00 AM

Firstpage

1349

Lastpage

1352

Abstract

An automatic mesh generator is described based on a let-it-grow neural network. Starting from a rough mesh of triangles with a small number of nodes, the neural algorithm increases the number of nodes until a user-selected value is reached. The node growth is driven by a predefined probability density function. Several modifications to the original let-it-grow algorithm were made in order to save the boundary of the domain and to take the mesh quality into account. The study is of interest for magnetic devices

Keywords

electrical engineering computing; magnetic devices; mesh generation; neural nets; automatic mesh generation; boundary; computational electromagnetics; domain; let-it-grow neural network; magnetic devices; mesh quality; node growth; nodes; probability density function; rough mesh; triangles; Magnetic analysis; Magnetic devices; Mesh generation; Network topology; Neural networks; Neurons; Probability density function; Self organizing feature maps; Telecommunication network topology;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.497496

Filename

497496