A density driven mesh generator guided by a neural network

A neural network guided mesh generator is described. The mesh generator uses density information provided by the neural network to determine the size and placement of elements. This system is coupled with an adaptive meshing and solving process, and is shown to have major computational benefits comp...

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Bibliographic Details
Published in:IEEE transactions on magnetics 1993-03, Vol.29 (2), p.1927-1930
Main Authors: Lowther, D.A., Dyck, D.N.
Format: Article
Language:English
Subjects:
990200 - Mathematics & Computers
ACCURACY
Applied sciences
CALCULATION METHODS
Control systems
Design engineering
Design methodology
Electronics
Error correction
ERRORS
Exact sciences and technology
FINITE ELEMENT METHOD
Finite element methods
GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
Geometry
LEARNING
Learning systems
MESH GENERATION
Miscellaneous
NEURAL NETWORKS
NUMERICAL SOLUTION
SIZE
Solid modeling
Storage and reproduction of information
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Description
Summary:A neural network guided mesh generator is described. The mesh generator uses density information provided by the neural network to determine the size and placement of elements. This system is coupled with an adaptive meshing and solving process, and is shown to have major computational benefits compared with adaptation alone. The novel mesh generator is faster than conventional meshing approaches and allows the solver to take fewer adaptive steps in generating an optimum solution. It provides a method of hiding the meshing process from the user in a totally automatic system.< >
ISSN:0018-9464
1941-0069
DOI:10.1109/20.250785