Custom architectures for fuzzy and neural networks controllers
Standard hardware, dedicated microcontroller or application specific circuits can implement fuzzy logic or neural network controllers. This paper presents efficient architecture approaches to develop controllers using specific circuits. A generator uses several tools that allow translating the initi...
Guardado en:
| Autores principales: | Acosta, Nelson, Tosini, Marcelo Alejandro |
|---|---|
| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2002
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/9440 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct02-2.pdf |
| Aporte de: |
Ejemplares similares
-
A parallel approach for backpropagation learning of neural networks
por: Crespo, María Liz, et al.
Publicado: (1999) -
Identification of velocity variations in a seismic cube using neural networks
por: Cersósimo, Diego Sergio, et al.
Publicado: (2006) -
Integrating defeasible argumentation with fuzzy ART neural networks for pattern classification
por: Gómez, Sergio Alejandro, et al.
Publicado: (2004) -
An architecture for fuzzy logic controllers evolution and learning in microcontrollers based environments
por: Kavka, Carlos, et al.
Publicado: (2003) -
Keyword identification in Spanish documents using neural networks
por: Aquino, Germán Osvaldo, et al.
Publicado: (2015)