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: | , |
|---|---|
| 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: |
| Sumario: | 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 initial problem specification to a specific circuit implementation, by using HDL descriptions. These HDL description files can be synthesized to get the FPGA configuration bit-stream. |
|---|