| Título |
CAINN - Weightless alpha-beta neural network |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
IEEE Xplore Digital Library; Proceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2008 |
| Resumen |
In this paper, a weightless neural network model is presented, based on the known operations Alpha and Beta. This weightless Alpha-Beta neural network model is called CAINN - Computing Artificial Intelligence Neural Network. The CAINN's pattern learning and recalling algorithms are created given the Generalized Alpha, Sigma-Alpha, and Sigma-Beta operations, based on the ADAM weightless neural network model. Studies of the CAINN performance are shown. These studies report the reliability of the CAINN model |
| Observaciones |
Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008; Category numberP3320; Code 76986; Article number 4641110, |
| Lugar |
Cuernavaca, Morelos |
| País |
Mexico |
| No. de páginas |
434-438 |
| Vol. / Cap. |
2008 |
| Inicio |
2008-09-30 |
| Fin |
2008-10-03 |
| ISBN/ISSN |
|
