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Evolutionary scanning and neural network optimization

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dc.title Evolutionary scanning and neural network optimization en
dc.contributor.author Zelinka, Ivan
dc.contributor.author Šenkeřík, Roman
dc.contributor.author Oplatková, Zuzana
dc.relation.ispartof DEXA 2008: 19th International Conference on Database and Expert Systems Applications, Proceedings
dc.identifier.issn 1529-4188 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-0-7695-3299-8
dc.date.issued 2008
dc.citation.spage 576
dc.citation.epage 582
dc.event.title 19th International Conference on Database and Expert Systems Applications
dc.event.location Turin
utb.event.state-en Italy
utb.event.state-cs Itálie
dc.event.sdate 2008-09-01
dc.event.edate 2008-09-05
dc.type conferenceObject
dc.language.iso en
dc.publisher IEEE Computer Society en
dc.identifier.doi 10.1109/DEXA.2008.84
dc.relation.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4624779
dc.description.abstract This paper deals with use of an alternative tool for symbolic regression - analytic programming which is able to solve various problems from the symbolic domain as well as genetic programming and gramatical evolution. The main tasks of analytic programming in this paper, is synthesis of a neural network. In this contribution main principles of analytic programming are described and explained. In the second part of the article is in detail described how analytic programming was used for neural nework synthesis. An ability to create so called programms, as well as genetic programming or grammatical evolution do, is shown in that part. In this contribution three evolutionary algorithms were used - Self Organizing Migrating Algorithm, Differential Evolution and Simulated Annealing. The total number of simulations was 150 and results show that the first two used algorithms were more successful than not so robust Simulated Annealing. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001864
utb.identifier.rivid RIV/70883521:28140/08:63507090!RIV09-GA0-28140___
utb.identifier.obdid 43857091
utb.identifier.scopus 2-s2.0-57849113946
utb.identifier.wok 000259487400097
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:07Z
dc.date.available 2011-08-09T07:34:07Z
utb.contributor.internalauthor Zelinka, Ivan
utb.contributor.internalauthor Šenkeřík, Roman
utb.contributor.internalauthor Oplatková, Zuzana
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