Neuro-flou

Domaine

Intelligence artificielle
Logique floue
Apprentissage automatique
Réseau de neurones artificiels
Coulombe

Définition

Un système neuro-flou est un système d'intelligence artificielle hybride qui combine la logique floue et un algorithme d'apprentissage dérivé des réseaux neuronaux pour déterminer les paramètres d'ensembles flous et de règles floues à partir de données.

Français

neuro-flou

Note: adjectif, neuro-flou, neuro-flous, neuro-floue, neuro-floues

Anglais

Neuro-fuzzy

Neuro-fuzzy hybridization results in a hybrid intelligent system that synergizes these two techniques by combining the human-like reasoning style of fuzzy systems with the learning and connectionist structure of neural networks. Neuro-fuzzy hybridization is widely termed as fuzzy neural network (FNN) or neuro-fuzzy system (NFS) in the literature. Neuro-fuzzy system (the more popular term is used henceforth) incorporates the human-like reasoning style of fuzzy systems through the use of fuzzy sets and a linguistic model consisting of a set of IF-THEN fuzzy rules. The main strength of neuro-fuzzy systems is that they are universal approximators with the ability to solicit interpretable IF-THEN rules.