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Wireless distributed implementation of a fuzzy neural classification system

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dc.contributor.author Pertselakis, M en
dc.contributor.author Ferles, C en
dc.contributor.author Tsiolis, K en
dc.contributor.author Stafylopatis, A en
dc.date.accessioned 2014-03-01T01:23:20Z
dc.date.available 2014-03-01T01:23:20Z
dc.date.issued 2005 en
dc.identifier.issn 0218-2130 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/16917
dc.subject Classifier en
dc.subject Context-awareness en
dc.subject Fuzzy neural systems en
dc.subject Wireless networks en
dc.subject.classification Computer Science, Artificial Intelligence en
dc.subject.classification Computer Science, Interdisciplinary Applications en
dc.title Wireless distributed implementation of a fuzzy neural classification system en
heal.type journalArticle en
heal.identifier.primary 10.1142/S0218213005002314 en
heal.identifier.secondary http://dx.doi.org/10.1142/S0218213005002314 en
heal.language English en
heal.publicationDate 2005 en
heal.abstract Recent years have seen a surge of interest in the field of pervasive context-aware computing. In this framework we propose a novel real implementation of an adaptive self-configurable system, applied within the scope of wireless ad-hoc networks. WiDFuNC is an integrated system that consists of an intelligent unit implemented on a real PDA, a number of sensors and a remote server device to form an efficient prototype system that can be applied in various domains. This implementation of WiDFuNC focuses on pure classification problems with satisfactory experimental results, presenting great adaptability and context-awareness. © World Scientific Publishing Company. en
heal.publisher WORLD SCIENTIFIC PUBL CO PTE LTD en
heal.journalName International Journal on Artificial Intelligence Tools en
dc.identifier.doi 10.1142/S0218213005002314 en
dc.identifier.isi ISI:000233469200007 en
dc.identifier.volume 14 en
dc.identifier.issue 4 en
dc.identifier.spage 661 en
dc.identifier.epage 682 en


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