dc.creatorRocha A.R.
dc.date1985
dc.date2015-06-30T13:42:39Z
dc.date2015-11-26T14:38:03Z
dc.date2015-06-30T13:42:39Z
dc.date2015-11-26T14:38:03Z
dc.date.accessioned2018-03-28T21:42:48Z
dc.date.available2018-03-28T21:42:48Z
dc.identifier444878084
dc.identifierApproximate Reasoning In Expert Syst. North-holland, Amsterdam, Neth, v. , n. , p. 549 - 570, 1985.
dc.identifier
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-0022175652&partnerID=40&md5=afb75368ce912cb9c75b6930b2bd09df
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/98524
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/98524
dc.identifier2-s2.0-0022175652
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1249403
dc.descriptionSensory perception depends on the response of each receptor and on how sensory message spread on the brain. This message is described by a fuzzy point process, and is measured by the fuzzy covariability of the stimulus and the sensory response. Information convergence and divergence determine the topology of its processing space. Sensory processing is formalized as a string of images elicited by the stimulus in this processing space. . Expert sensory systems change the topology of the processing space by modifying the degree of convergence/divergence according to previous learning.
dc.description
dc.description
dc.description549
dc.description570
dc.languageen
dc.publisherNorth-Holland, Amsterdam, Neth
dc.relationApproximate Reasoning in Expert Syst
dc.rightsfechado
dc.sourceScopus
dc.titleExpert Sensory Systems: Initial Considerations.
dc.typeLibros


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