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-Nielsen | 1 | 448 | 110.50 |