Matches in DBpedia 2016-04 for { <http://wikidata.dbpedia.org/resource/Q5156355> ?p ?o }
Showing triples 1 to 20 of
20
with 100 triples per page.
- Q5156355 subject Q17093910.
- Q5156355 abstract "Competitive learning is a form of unsupervised learning in artificial neural networks, in which nodes compete for the right to respond to a subset of the input data. A variant of Hebbian learning, competitive learning works by increasing the specialization of each node in the network. It is well suited to finding clusters within data.Models and algorithms based on the principle of competitive learning include vector quantization and self-organising maps (Kohonen maps).".
- Q5156355 thumbnail Competitive_neural_network_architecture.png?width=300.
- Q5156355 wikiPageExternalLink www.demogng.de.
- Q5156355 wikiPageExternalLink t.html.
- Q5156355 wikiPageWikiLink Q11101.
- Q5156355 wikiPageWikiLink Q1136838.
- Q5156355 wikiPageWikiLink Q1152135.
- Q5156355 wikiPageWikiLink Q1277874.
- Q5156355 wikiPageWikiLink Q17093910.
- Q5156355 wikiPageWikiLink Q192776.
- Q5156355 wikiPageWikiLink Q1981169.
- Q5156355 wikiPageWikiLink Q245652.
- Q5156355 wikiPageWikiLink Q612536.
- Q5156355 wikiPageWikiLink Q622825.
- Q5156355 wikiPageWikiLink Q7130583.
- Q5156355 wikiPageWikiLink Q769931.
- Q5156355 comment "Competitive learning is a form of unsupervised learning in artificial neural networks, in which nodes compete for the right to respond to a subset of the input data. A variant of Hebbian learning, competitive learning works by increasing the specialization of each node in the network. It is well suited to finding clusters within data.Models and algorithms based on the principle of competitive learning include vector quantization and self-organising maps (Kohonen maps).".
- Q5156355 label "Competitive learning".
- Q5156355 depiction Competitive_neural_network_architecture.png.