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Methodology for System Adaptation based on Characteristic Patterns

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dc.title Methodology for System Adaptation based on Characteristic Patterns en
dc.contributor.author Volná, Eva
dc.contributor.author Janošek, Michal
dc.contributor.author Kocián, Václav
dc.contributor.author Kotyrba, Martin
dc.contributor.author Oplatková, Zuzana
dc.relation.ispartof Robotics System - Applications, Control and Programming
dc.identifier.isbn 978-953-307-941-7
dc.date.issued 2012
dc.event.location Rijeka
utb.event.state-en Croatia
utb.event.state-cs Chorvatsko
dc.type bookPart
dc.language.iso en
dc.publisher InTech
dc.relation.uri http://www.intechopen.com/books/robotic-systems-applications-control-and-programming/methodology-for-system-adaptation-based-on-characteristic-patterns-
dc.subject Methodology en
dc.subject System Adaptation en
dc.subject Pattern recognition en
dc.subject Neural Network en
dc.subject Analytic Programming en
dc.description.abstract This paper describes the methodology for system description and application so that the system can be managed using real time system adaptation. Here, we propose approaches relying on machine learning methods, which would enable to characterize key patterns and detect them in real time and in their altered form as well. Then, based on the pattern recognized, it is possible to apply a suitable intervention to system inputs so that the system responds in the desired way. Our aim is to develop and apply a hybrid approach based on machine learning methods, particularly based on soft-computing methods to identify patterns successfully and for the subsequent adaptation of the system. The main goal of the paper is to recognize important pattern and adapt the system?s behaviour based on the pattern desired way. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005959
utb.identifier.rivid RIV/70883521:28140/12:43866768!RIV13-MSM-28140___
utb.identifier.obdid 43866940
utb.source c-riv
dc.date.accessioned 2016-04-28T10:37:27Z
dc.date.available 2016-04-28T10:37:27Z
dc.description.sponsorship P(ED2.1.00/03.0089), P(GA102/09/1680), S, Z(MSM7088352101)
dc.format.extent 628
dc.rights Attribution 3.0 International
dc.rights.uri http://creativecommons.org/licenses/by/3.0/
dc.rights.access openAccess
utb.contributor.internalauthor Oplatková, Zuzana
riv.obor JD
utb.fulltext.affiliation Eva Volná1, Michal Janošek1, Václav Kocian1, Martin Kotyrba1 and Zuzana Oplatková2 1University of Ostrava 2Tomas Bata University in Zlín Czech Republic
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Attribution 3.0 International Except where otherwise noted, this item's license is described as Attribution 3.0 International