Advanced Extended Kohonen Mapping Modelling Techniques for Sensor Actor Networks

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Show simple item record Chiu, Christopher en_US Chaczko, Zenon en_US Moses, Perez en_US
dc.contributor.editor Braun, R., Agbinya, J. en_US 2010-05-28T10:02:38Z 2010-05-28T10:02:38Z 2009 en_US
dc.identifier 2009002116 en_US
dc.identifier.citation Chiu Christopher, Chaczko Zenon, and Moses Perez 2009, 'Advanced Extended Kohonen Mapping Modelling Techniques for Sensor Actor Networks', IEEE CPS, Piscataway, NJ, pp. 245-250. en_US
dc.identifier.issn 978-83-7493-470-1 en_US
dc.identifier.other E1 en_US
dc.description.abstract This paper discusses the results of utilising advanced EKM modelling techniques to manage Sensor-Actor networks (SANETs) such as wireless sensor networks. EKMs allow a quantitative analysis of an algorithmic artificial neural network process by using an indirect-mapping EKM to self-organise from a given input space to administer SANET routing and clustering functions with a control parameter space. en_US
dc.language English en_US
dc.publisher IEEE CPS en_US
dc.relation.isbasedon NA en_US
dc.title Advanced Extended Kohonen Mapping Modelling Techniques for Sensor Actor Networks en_US
dc.parent 4th International Conference on Broadband Communications, Information Technology & Biomedical Applications en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Piscataway, NJ en_US
dc.identifier.startpage 245 en_US
dc.identifier.endpage 250 en_US FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.for 010200 en_US
dc.personcode 104215 en_US
dc.personcode 011197 en_US
dc.personcode 950642 en_US
dc.percentage 100 en_US Applied Mathematics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference of Broadband Communication, Information Technology and Biomedical Applications en_US 20090715 en_US
dc.location.activity Wroclaw, Poland en_US
dc.description.keywords Extended Kohonen Maps (EKM), Sensor Actor Networks (SANET), Wireless Sensor Networks (WSN) Software Engineering. en_US
dc.staffid en_US
dc.staffid 950642 en_US

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