Custom architectures for fuzzy and neural networks controllers

• Autores: Nelson Acosta, Marcelo Alejandro Tosini
• Localización: Journal of Computer Science and Technology, ISSN-e 1666-6038, Vol. 2, Nº. 1, 2002 (Ejemplar dedicado a: Seventh Issue), págs. 9-15
• Idioma: inglés
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• Resumen

  • 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.