This HTML5 document contains 63 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
yago-reshttp://yago-knowledge.org/resource/
dbohttp://dbpedia.org/ontology/
n14http://dbpedia.org/resource/File:
foafhttp://xmlns.com/foaf/0.1/
n21https://archive.today/20130106140625/http:/www.gii.udc.es/
dbpedia-eshttp://es.dbpedia.org/resource/
n20https://archive.today/20130106133654/http:/www.gii.udc.es/
n8https://global.dbpedia.org/id/
yagohttp://dbpedia.org/class/yago/
dbthttp://dbpedia.org/resource/Template:
rdfshttp://www.w3.org/2000/01/rdf-schema#
freebasehttp://rdf.freebase.com/ns/
n10http://
n12http://commons.wikimedia.org/wiki/Special:FilePath/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
owlhttp://www.w3.org/2002/07/owl#
wikipedia-enhttp://en.wikipedia.org/wiki/
dbchttp://dbpedia.org/resource/Category:
dbphttp://dbpedia.org/property/
provhttp://www.w3.org/ns/prov#
xsdhhttp://www.w3.org/2001/XMLSchema#
goldhttp://purl.org/linguistics/gold/
wikidatahttp://www.wikidata.org/entity/
dbrhttp://dbpedia.org/resource/

Statements

Subject Item
dbr:Promoter_based_genetic_algorithm
rdf:type
yago:Description106724763 yago:Procedure101023820 yago:Specification106725067 yago:WikicatNeuralNetworks yago:Communication100033020 yago:PsychologicalFeature100023100 yago:Activity100407535 yago:Statement106722453 yago:WikicatEvolutionaryAlgorithms yago:WikicatGeneticAlgorithms yago:Event100029378 yago:Rule105846932 dbo:Software yago:Message106598915 yago:NeuralNetwork106725467 yago:ComputerArchitecture106725249 yago:Algorithm105847438 yago:WikicatArtificialNeuralNetworks yago:Act100030358 yago:Abstraction100002137 yago:YagoPermanentlyLocatedEntity
rdfs:label
Promoter based genetic algorithm Promoter Based Genetic Algorithm
rdfs:comment
El Promoter Based Genetic Algorithm (PBGA) es un algoritmo genético para neuroevolución desarrollado por F. Bellas y R.J. Duro en la Universidade da Coruña. El PBGA evoluciona una perceptrón multicapa de tamaño variable que se codifica en secuencias de genes para construir las unidades básicas que crean la red. Cada unidad neuronal básica está precedida de un gen promotor que actúa como un interruptor determinando si esa unidad en concreto se muestra o no en la red resultante. The promoter based genetic algorithm (PBGA) is a genetic algorithm for neuroevolution developed by F. Bellas and R.J. Duro in the (GII) at the University of Coruña, in Spain. It evolves variable size feedforward artificial neural networks (ANN) that are encoded into sequences of genes for constructing a basic ANN unit. Each of these blocks is preceded by a gene promoter acting as an on/off switch that determines if that particular unit will be expressed or not.
foaf:depiction
n12:Pbga2.jpg n12:pbga2.jpg
dcterms:subject
dbc:Genetic_algorithms dbc:Artificial_neural_networks dbc:Evolutionary_algorithms dbc:Evolutionary_computation
dbo:wikiPageID
25056220
dbo:wikiPageRevisionID
1058764854
dbo:wikiPageWikiLink
dbr:Multilevel_Darwinist_Brain n14:Pbga2.jpg dbr:Genotype dbr:Integrated_Group_for_Engineering_Research dbc:Artificial_neural_networks dbc:Evolutionary_algorithms dbr:Genetic_algorithm dbc:Genetic_algorithms dbc:Evolutionary_computation dbr:Neuron dbr:Artificial_neural_network
dbo:wikiPageExternalLink
n10:www.gii.udc.es n20:richard_duro n21:francisco_bellas
owl:sameAs
n8:4nvPh freebase:m.09gfgn_ yago-res:Promoter_based_genetic_algorithm wikidata:Q6087864 dbpedia-es:Promoter_Based_Genetic_Algorithm
dbp:wikiPageUsesTemplate
dbt:Evolutionary_algorithms
dbo:thumbnail
n12:pbga2.jpg?width=300
dbo:abstract
The promoter based genetic algorithm (PBGA) is a genetic algorithm for neuroevolution developed by F. Bellas and R.J. Duro in the (GII) at the University of Coruña, in Spain. It evolves variable size feedforward artificial neural networks (ANN) that are encoded into sequences of genes for constructing a basic ANN unit. Each of these blocks is preceded by a gene promoter acting as an on/off switch that determines if that particular unit will be expressed or not. El Promoter Based Genetic Algorithm (PBGA) es un algoritmo genético para neuroevolución desarrollado por F. Bellas y R.J. Duro en la Universidade da Coruña. El PBGA evoluciona una perceptrón multicapa de tamaño variable que se codifica en secuencias de genes para construir las unidades básicas que crean la red. Cada unidad neuronal básica está precedida de un gen promotor que actúa como un interruptor determinando si esa unidad en concreto se muestra o no en la red resultante.
gold:hypernym
dbr:Algorithm
prov:wasDerivedFrom
wikipedia-en:Promoter_based_genetic_algorithm?oldid=1058764854&ns=0
dbo:wikiPageLength
3830
foaf:isPrimaryTopicOf
wikipedia-en:Promoter_based_genetic_algorithm
Subject Item
dbr:PROMOTER_BASED_GENETIC_ALGORITHM_(PBGA)
dbo:wikiPageWikiLink
dbr:Promoter_based_genetic_algorithm
dbo:wikiPageRedirects
dbr:Promoter_based_genetic_algorithm
Subject Item
wikipedia-en:Promoter_based_genetic_algorithm
foaf:primaryTopic
dbr:Promoter_based_genetic_algorithm