InforLorV4, Main, Exploration, bibRecordById, Pascal:06-0067861

Knowledge extraction from unsupervised multi-topographic neural network models

Identifieur interne : 006362 ( Main/Exploration ); précédent : 006361; suivant : 006363

Knowledge extraction from unsupervised multi-topographic neural network models

Auteurs : Shadi Al Shehabi [France] ; Jean-Charles Lamirel [France]

Source :

Lecture notes in computer science [ 0302-9743 ] ; 2005.

RBID : Pascal:06-0067861

Descripteurs français

Pascal (Inist)
- Méthode formelle, Intelligence artificielle, Découverte connaissance, Apprentissage non supervisé, Fouille donnée, Système expert, Contrôle qualité, Classification, Base donnée, Association statistique, Brevet, Propriété industrielle, Réseau neuronal, Modélisation, Base connaissance, Treillis Galois, Règle association.
Wicri :
- topic : Intelligence artificielle, Classification, Base de données, Brevet, Propriété industrielle.

English descriptors

KwdEn :
- Artificial intelligence, Association rule, Classification, Data mining, Database, Expert system, Formal method, Galois lattice, Knowledge base, Knowledge discovery, Modeling, Neural network, Patent rights, Patents, Quality control, Statistical association, Unsupervised learning.

Abstract

This paper presents a new approach whose aim is to extent the scope of numerical models by providing them with knowledge extraction capabilities. The basic model which is considered in this paper is a multi-topographic neural network model. One of the most powerful features of this model is its generalization mechanism that allows rule extraction to be performed. The extraction of association rules is itself based on original quality measures which evaluate to what extent a numerical classification model behaves as a natural symbolic classifier such as a Galois lattice. A first experimental illustration of rule extraction on documentary data constituted by a set of patents issued form a patent database is presented.

Affiliations:

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Le document en format XML

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Knowledge extraction from unsupervised multi-topographic neural network models

Knowledge extraction from unsupervised multi-topographic neural network models

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri