Title :
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
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;
Conference_Titel :
Computation in Electromagnetics, 1994. Second International Conference on
Conference_Location :
London
Print_ISBN :
0-85296-609-1
DOI :
10.1049/cp:19940050
