DocumentCode
815715
Title
Determining an approximate finite element mesh density using neural network techniques
Author
Dyck, D.N. ; Lowther, D.A. ; McFee, S.
Author_Institution
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
Volume
28
Issue
2
fYear
1992
fDate
3/1/1992 12:00:00 AM
Firstpage
1767
Lastpage
1770
Abstract
A system is presented which uses a neural network to predetermine the mesh density for modeling a magnetic device with finite elements. The system `learns´ how to mesh from examples of ideal meshes. Once trained, the system computes the mesh density given the geometric and material descriptions of a device. A mesh based on this density information can be used as the initial mesh for an adaptive solver
Keywords
finite element analysis; magnetic devices; neural nets; adaptive solver; density information; finite element mesh density; ideal meshes; magnetic device; material descriptions; neural network techniques; Computer networks; Feature extraction; Finite element methods; Humans; Iron; Magnetic analysis; Magnetic devices; Magnetic materials; Neural networks; Packaging;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.124047
Filename
124047
Link To Document