| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 409561 | Neurocomputing | 2006 | 4 Pages |
Abstract
In this paper, the decision-based neural network (DBNN) learning algorithm is modified to stimulate local competition. Performance is assessed in ten UCI databases, resulting in improved results at the expense of a relatively low increase of the computational burden.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Gustavo Camps-Valls, Luis Gómez-Chova, Joan Vila-Francés, José D. Martín-Guerrero, Antonio J. Serrano-López, Emilio Soria-Olivas,