| Título |
A modification of the lernmatrix for real valued data processing |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
Lecture Notes in Computer Science; 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012 |
| Resumen |
An associative memory is a binary relationship between inputs and outputs, which is stored in an M matrix. In this paper, we propose a modification of the Steinbuch Lernmatrix model in order to process real-valued patterns, avoiding binarization processes and reducing computational burden. The proposed model is used in experiments with noisy environments, where the performance and efficiency of the memory is proven. A comparison between the proposed and the original model shows a good response and efficiency in the classification process of the new Lernmatrix. |
| Observaciones |
Code 92323 ** Drive: A-modification_2012 |
| Lugar |
Buenos Aires |
| País |
Argentina |
| No. de páginas |
487-494 |
| Vol. / Cap. |
7441 |
| Inicio |
2012-09-03 |
| Fin |
|
| ISBN/ISSN |
978-364233274-6 |
