Synthesis of artificial neural networks by evolutionary methods

Zelinka, Ivan; Vařacha, Pavel

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