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...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2002 |
| País: | Argentina |
| Institución: | Universidad Nacional de La Plata |
| Repositorio: | SEDICI (UNLP) |
| Idioma: | inglés |
| OAI Identifier: | oai:sedici.unlp.edu.ar:10915/9440 |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/9440 |
| Access Level: | acceso abierto |
| Palabra clave: | Ciencias Informáticas Neural nets INTEGRATED CIRCUITS Channels and controllers |
| 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. |
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