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dc.date.accessioned 2004-02-06T20:12:23Z
dc.date.available 2004-02-06T03:00:00Z
dc.date.issued 2002
dc.identifier.uri http://hdl.handle.net/10915/9440
dc.description.abstract 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. en
dc.format.extent p. 9-15 es
dc.language en es
dc.title Custom architectures for fuzzy and neural networks controllers en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct02-2.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Acosta, Nelson es
sedici.creator.person Tosini, Marcelo Alejandro es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000080 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 2, no. 7 es
sedici.subject.acmcss98 Neural nets es
sedici.subject.acmcss98 INTEGRATED CIRCUITS es
sedici.subject.acmcss98 Channels and controllers es

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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)