Title :
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
fDate :
5/1/1996 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
