About: A REVIEW OF METHODS FOR ENCODING NEURAL NETWORK TOPOLOGIES IN EVOLUTIONARY COMPUTATION

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper describes various methods used to encode artificial neural networks to chromosomes to be used in evolutionary computation. The target of this review is to cover the main techniques of network encoding and make it easier to choose one when implementing a custom evolutionary algorithm for finding the network topology. Most of the encoding methods are mentioned in the context of neural networks; however all of them could be generalized to automata networks or even oriented graphs. We present direct and indirect encoding methods, and given examples of their genotypes. We also describe the possibilities of applying genetic operators of mutation and crossover to genotypes encoded by these methods. Also, the dependencies of using special evolutionary algorithms with some of the encodings were considered. This paper describes various methods used to encode artificial neural networks to chromosomes to be used in evolutionary computation. The target of this review is to cover the main techniques of network encoding and make it easier to choose one when implementing a custom evolutionary algorithm for finding the network topology. Most of the encoding methods are mentioned in the context of neural networks; however all of them could be generalized to automata networks or even oriented graphs. We present direct and indirect encoding methods, and given examples of their genotypes. We also describe the possibilities of applying genetic operators of mutation and crossover to genotypes encoded by these methods. Also, the dependencies of using special evolutionary algorithms with some of the encodings were considered. (en)
Title	A REVIEW OF METHODS FOR ENCODING NEURAL NETWORK TOPOLOGIES IN EVOLUTIONARY COMPUTATION A REVIEW OF METHODS FOR ENCODING NEURAL NETWORK TOPOLOGIES IN EVOLUTIONARY COMPUTATION (en)
skos:prefLabel	A REVIEW OF METHODS FOR ENCODING NEURAL NETWORK TOPOLOGIES IN EVOLUTIONARY COMPUTATION A REVIEW OF METHODS FOR ENCODING NEURAL NETWORK TOPOLOGIES IN EVOLUTIONARY COMPUTATION (en)
skos:notation	RIV/70883521:28140/11:43867274!RIV12-MSM-28140___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0089), S
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Fekiač, Jozef Zelinka, Ivan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Tomáše Bati ve Zlíně / Fakulta aplikované informatiky
http://linked.open...dnocenehoVysledku	184115
http://linked.open...ai/riv/idVysledku	RIV/70883521:28140/11:43867274
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	artificial neural network, automata network, evolutionary computation, genetic programming, genetic algorithm, network encoding, graph grammar (en)
http://linked.open.../riv/klicoveSlovo	artificial neural network evolutionary computation genetic algorithm automata network genetic programming graph grammar network encoding
http://linked.open...ontrolniKodProRIV	[D5869DE7C334]
http://linked.open...v/mistoKonaniAkce	Krakow
http://linked.open...i/riv/mistoVydani	Nicosia
http://linked.open...i/riv/nazevZdroje	Proceedings 25th European Conference on Modelling and Simulation ECMS 2011
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Burguillo, Juan C. Fekiač, Jozef Zelinka, Ivan
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2011-06-07 (xsd:date)
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	ECMS
https://schema.org/isbn	978-0-9564944-2-9
http://localhost/t...ganizacniJednotka	28140

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