Synthesis of artificial neural networks by the means of evolutionary scanning - preliminary study

Vařacha, Pavel; Zelinka, Ivan

dc.title	Synthesis of artificial neural networks by the means of evolutionary scanning - preliminary study	en
dc.contributor.author	Vařacha, Pavel
dc.contributor.author	Zelinka, Ivan
dc.relation.ispartof	21st European Conference on Modelling and Simulation ECMS 2007: Simulations in United Europe
dc.identifier.isbn	978-0-9553018-2-7
dc.date.issued	2007
dc.citation.spage	265
dc.citation.epage	270
dc.event.title	21st European Conference on Modelling and Simulation
dc.event.location	Prague
utb.event.state-en	Czech Republic
utb.event.state-cs	Česká republika
dc.event.sdate	2007-06-04
dc.event.edate	2007-06-06
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	European Council for Modelling and Simulation (ECMS)	en
dc.relation.uri	http://www.scs-europe.net/conf/ecms2007/ecms2007-cd/ecms2007/ecms2007%20pdf/is_0111.pdf
dc.subject	neural network	en
dc.subject	symbolic regression	en
dc.subject	analytic programming	en
dc.subject	evolutionary searching	en
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/10563/1001941
utb.identifier.obdid	15553451
utb.identifier.scopus	2-s2.0-84857594504
utb.identifier.wok	000252306400042
utb.source	d-wok
dc.date.accessioned	2011-08-09T07:34:16Z
dc.date.available	2011-08-09T07:34:16Z
utb.contributor.internalauthor	Vařacha, Pavel
utb.contributor.internalauthor	Zelinka, Ivan