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dc.date.accessioned 2008-10-10T18:17:38Z
dc.date.available 2008-10-10T03:00:00Z
dc.date.issued 2004
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9491
dc.description.abstract Artificial Neural Networks belong to the sub-symbolic branch of Artificial Intelligence since they allow to find the solution of a problem without the need of knowing the algorithm necessary to solve it. This turns them into a tool based on an approach completely different from that used by conventional Computing. Artificial neural networks (ANN) have been inspired in how the brain works and in the way its cells relate to each other. Technological advances provide ever-greater resources to represent really complex structures, perform computations at high speed and in parallel. This has indeed motivated research on this kind of tool. en
dc.format.extent 122-123 es
dc.language en es
dc.subject Reseña de Libros es
dc.title Redes Neuronales Artificiales. Un Enfoque Práctico es
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Aug04-BR1.pdf es
sedici.identifier.issn 1666-6038 es
sedici.title.subtitle P. Isasi Viñuela, I. M. Galván. Pearson Educación, 2004. ISBN 84-205-4025-0 es
sedici.creator.person Lanzarini, Laura Cristina es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Revision 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 non-peer-review es
sedici2003.identifier ARG-UNLP-REV-0000000116 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 4, no. 2 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)