Title
Applications of counterpropagation networks
Abstract
By combining Kohonen learning and Grossberg learning a new type of mapping neural network is obtained. This counterpropagation network functions as a statistically optimal self-adapting look-up table. The paper describes applications of this network to pattern recognition, function approximation, statistical analysis, and data compression.
Year
DOI
Venue
1988
10.1016/0893-6080(88)90015-9
Neural Networks
Field
DocType
Volume
Pattern recognition,Function approximation,Counterpropagation network,Computer science,Self-organizing map,Artificial intelligence,Data compression,Artificial neural network,Machine learning,Statistical analysis
Journal
1
Issue
ISSN
Citations 
2
0893-6080
77
PageRank 
References 
Authors
45.01
2
1
Name
Order
Citations
PageRank
Robert Hecht-Nielsen1448110.50