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Synthesis of artificial neural networks by evolutionary methods

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dc.title Synthesis of artificial neural networks by evolutionary methods en
dc.contributor.author Zelinka, Ivan
dc.contributor.author Vařacha, Pavel
dc.relation.ispartof DEXA 2007: 18th International Conference on Database and Expert Systems Applications, Proceedings
dc.identifier.isbn 978-0-7695-2932-5
dc.date.issued 2007
dc.citation.spage 153
dc.citation.epage 157
dc.event.title 18th International Conference on Database and Expert Systems Applications
dc.event.location Regensburg
utb.event.state-en Germany
utb.event.state-cs Německo
dc.event.sdate 2007-09-03
dc.event.edate 2007-09-07
dc.type conferenceObject
dc.language.iso en
dc.publisher IEEE Computer Society en
dc.identifier.doi 10.1109/DEXA.2007.67
dc.relation.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4312876
dc.description.abstract This work deals with a problem of synthesis of the artificial neural networks using the evolutional scanning method The basic task to be solved is to create a symbolic regression algorithm on principles of analytic programming, which will be capable of performing a convenient neural network synthesis. The main motivation here is the computerization of such synthesis and discovering so far unknown solutions. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001922
utb.identifier.obdid 43865795
utb.identifier.scopus 2-s2.0-47849123002
utb.identifier.wok 000250954300032
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:14Z
dc.date.available 2011-08-09T07:34:14Z
utb.contributor.internalauthor Zelinka, Ivan
utb.contributor.internalauthor Vařacha, Pavel
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