| Título |
Simplification of the learning phase in the alpha-beta associative memories |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
IEEE Computer Society, Proc. Proceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2008 |
| Resumen |
An associative memory is a system that relates input patterns and output patterns, furthermore is able to recover the output vector associated although the input pattern was contaminated by some kind of noise. Alpha Beta associative memories are robust to subtractive and additive noise and are one of the fastest associative memories besides other qualities. In this paper we show a way to reduce the number of operations in the learning phase. The operation alpha used in the learning phase allow us to propose 8 theorems; with those theorems is possible to construct an alternative learning method. By this method, the number of alpha operations needed to learning each pattern is reduced and replaced by assignations, furthermore we also eliminate the min and max operations. This reduces the learning time drastically with either big dimension patterns or a big number of patterns. |
| Observaciones |
Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008; Category numberP3320; Code 76986; Article number 4641109, |
| Lugar |
Cuernavaca, Morelos |
| País |
Mexico |
| No. de páginas |
428-433 |
| Vol. / Cap. |
2008 |
| Inicio |
2008-09-30 |
| Fin |
2008-10-03 |
| ISBN/ISSN |
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