A novel adaptive generator based on Kohonen´s neural network model and vector quantization

Author

Rao, L. ; He, B. ; Yan, W.

Author_Institution

Heibei Inst. of Technol., China

fYear

1994

fDate

12-14 Apr 1994

Firstpage

193

Lastpage

197

Abstract

Using a novel way to realize adaptive mesh generation, the authors take advantage of the asymptotic Voronoi partition and dual Delaunay triangulation property of SOM/LVQ and VQ, and drive the potential mesh generator

Keywords

adaptive systems; computational geometry; mesh generation; neural nets; self-organising feature maps; vector quantisation; Kohonen´s neural network model; SOM/LVQ; VQ; adaptive generator; adaptive mesh generation; asymptotic Voronoi partition; dual Delaunay triangulation property; potential mesh generator; vector quantization;

fLanguage

English

Publisher

iet

Conference_Titel

Computation in Electromagnetics, 1994. Second International Conference on

Conference_Location

London

Print_ISBN

0-85296-609-1

Type

conf

DOI

10.1049/cp:19940050

Filename

324050

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2083305