@prefix p66: <http://data.loterre.fr/ark:/67375/P66> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix isothes: <http://purl.org/iso25964/skos-thes#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix uneskos: <http://purl.org/umu/uneskos#> .

p66:-Informatique
  skos:prefLabel "Informatics"@en, "Informatique"@fr ;
  a isothes:ConceptGroup ;
  skos:member p66:-FXM2S5M3-P .

p66:-P03SX7J0-0
  skos:prefLabel "réseau de neurones unidirectionnel"@fr, "feedforward neural network"@en ;
  a skos:Concept ;
  skos:related p66:-FXM2S5M3-P .

p66:-RM7WH4HS-J
  skos:prefLabel "algorithme"@fr, "algorithm"@en ;
  a skos:Concept ;
  skos:narrower p66:-FXM2S5M3-P .

p66:-FXM2S5M3-P
  skos:hiddenLabel "rétro-propagation"@fr ;
  dc:creator "Frank Arnould" ;
  skos:exactMatch <https://www.wikidata.org/wiki/Q798503>, <https://fr.wikipedia.org/wiki/Rétropropagation_du_gradient>, <https://en.wikipedia.org/wiki/Backpropagation> ;
  skos:inScheme p66: ;
  a skos:Concept ;
  dc:bibliographicCitation """<span class ="replaced2">	•	 Abdi, H. (1994). Les réseaux de neurones. Presses Universitaires de Grenoble.</span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">literature review</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">closed</span></p>"""@en, """<span class ="replaced2">	•	 Abdi, H. (1994). Les réseaux de neurones. Presses Universitaires de Grenoble.</span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">revue de la littérature</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">fermé</span></p>"""@fr, """<span class ="replaced2">	•	 Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning internal representations by error propagation. In D. E. Rumelhart & J. L. McClelland (Eds.), Parallel distributed processing. Vol. 1: Foundations (pp. 318–362). MIT Press.</span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Document type</span>: <span class="versal">empirical study</span></p> <p><span class="tooltip-prop">• Access</span>: <span class="versal">closed</span></p>"""@en, """<span class ="replaced2">	•	 Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning internal representations by error propagation. In D. E. Rumelhart & J. L. McClelland (Eds.), Parallel distributed processing. Vol. 1: Foundations (pp. 318–362). MIT Press.</span> <span class="reified-property-value xl-pref-label tooltip-html"><p><img src="resource/pics/infoBlue.png"/>	</p><div class="reified-tooltip tooltip-html-content"><p><span class="tooltip-prop">• Type de document</span> : <span class="versal">étude empirique</span></p> <p><span class="tooltip-prop">• Accès</span> : <span class="versal">fermé</span></p>"""@fr ;
  skos:broader p66:-RM7WH4HS-J ;
  dc:created "2021-08-30"^^xsd:date ;
  skos:definition "Learning rule in multilayer artificial neural networks. The error of the output neurons is propagated backwards through the layers of the network and the synaptic weights are fitted."@en, "Règle d’apprentissage dans les réseaux de neurones artificiels multicouches. L’erreur des neurones de sortie est propagée vers l’arrière dans les couches du réseau et les poids sont ajustés."@fr ;
  skos:related p66:-P03SX7J0-0, p66:-BB8BQFJ5-G, p66:-R9DC7TZN-9 ;
  skos:prefLabel "backpropagation"@en, "rétropropagation"@fr ;
  dc:modified "2023-09-04"^^xsd:date ;
  skos:altLabel "règle delta généralisée"@fr, "rétropropagation du gradient d’erreur"@fr ;
  uneskos:memberOf p66:-Informatique .

p66:-BB8BQFJ5-G
  skos:prefLabel "poids synaptique"@fr, "synaptic weight"@en ;
  a skos:Concept ;
  skos:related p66:-FXM2S5M3-P .

p66: a skos:ConceptScheme .
p66:-R9DC7TZN-9
  skos:prefLabel "apprentissage"@fr, "learning"@en ;
  a skos:Concept ;
  skos:related p66:-FXM2S5M3-P .