R. Eseaux-de, 24 1.3.1 Vocabulaire::::::: 25 1.3.2 Que peut-on faire avec des r eseaux de neurones artiaeciels RNAA? 26 1.3.3 RNA multi-couches ar etro-propagation du gradient :::::: 29 1.3.4 RNA incr ementaux a base de prototypes :::::::::::: 34 1.3.5 RNA r ecurrents, 39 1.3.6 Points forts et points faibles des r eseaux de neurones artiaeciels 42 1.3.7 R eseaux et autres m ethodes, p.47

L. 'approche-hybride-proprement-dite, 55 2.2.1 Les classes de syst emes hybrides ::::::::::::::::: 55 2.2.2 Notre propre classiaecation :::::::::::::::::::: 59 2.2, Syst emes a couplage faible :::::::::::::::::::: 61 2.2.4 Syst emes a couplage etroit :::::::::::::::::::: 65 2.2.5 Syst emes a couplage fort, p.72

L. Approches-purement-connexionnistes, 76 2.3.1 L'approche localiste :::::::::::::::::::::::: 76 2.3.2 L'approche distribu ee, 79 2.3.3 L'approche combin ee, p.79

. Si-s1-in-Ë0, 2ë et s2 in ë0.8,1.0ë et s3 in ë0.0,0.2ë et s4 in ë0.0,0.2ë et a3 in ë0

. D. Une-aeli-ere-aeg, 11 est simplement vue comme la liste des lots qui en font partie

U. D. Lot-aeg, 11 est compos e de la aeli ere a laquelle il appartient, ses plaques, ses d egroupages, sa date de lancement

. D. Fig, 1 -A gauche : un exemple de d egroupage, le Degroupage- CJ . A droite en haut : un exemple de lot, le lot-CJ , qui ne comporte qu'un seul d egroupage, le Degroupage-CJ . A droite en bas : la aeli ere mod elis ee dans notre etude

. D. Une-plaque-aeg, 22 est d eaenie par son d egroupage, son num ero dans ce d egroupage, ses valeurs de param etres electriques. La saisie de plaques est automatique

. D. Fig, 2 -A gauche, un exemple de plaque, la plaque num ero 20 du lot CJ. A droite, son param etre electrique DELTAWN, avec sa m ediane et son ecart-type ; les causes de rejets sont indiqu es par les codes 777

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