DocumentCode
295771
Title
A review of a hybrid neural network: Kohonen learning vector quantization and counterpropagation
Author
Kong, J.H.L. ; Martin, G.P.M.D.
Author_Institution
Dept. of Comput. Technol., Monash Univ., Caulfield East, Vic., Australia
Volume
3
fYear
1995
fDate
Nov/Dec 1995
Firstpage
1397
Abstract
This paper reviews the background and applications of a hybrid neural network-linear vector quantization combined with backpropagation neural network. Areas for the application of LVQ-CPN include the recognition of handwriting, alphanumeric characters, symbols, patterns and pictures, and data compression
Keywords
backpropagation; pattern recognition; self-organising feature maps; vector quantisation; Kohonen learning vector quantization; alphanumeric characters; backpropagation neural network; counterpropagation; data compression; handwriting; hybrid neural network; patterns; pictures; symbols; Application software; Backpropagation; Character recognition; Clustering algorithms; Data compression; Handwriting recognition; Neural networks; Pattern recognition; Unsupervised learning; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.487363
Filename
487363
Link To Document