« Système d'inférence neuro-floue adaptative » : différence entre les versions


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Voir aussi '''[[logique floue]]''' et '''[[neuro-flou]]'''
Voir aussi '''[[logique floue]]''', '''[[neuro-flou]]''' et '''[[série chronologique]]'''


== Français ==
== Français ==
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'''Adaptive Network-based Fuzzy Inference System'''
'''Adaptive Network-based Fuzzy Inference System'''


''An adaptive neuro-fuzzy inference system is defined as an intelligent synthesis of neural networks and fuzzy logic, combining the robustness and learning capabilities of neural networks with the ability to model imprecise knowledge using fuzzy logic. ''
''ANFIS is an artificial neural network, implemented in many fields of time series research, that combines the robustness and learning capabilities of neural network with the ability to model imprecise knowledge using fuzzy logic.''
 
''Lagrange Multiplier test is used for testing hypothesis of adding variables in ANFIS modeling.''


== Source ==
== Source ==

Version du 15 novembre 2024 à 11:27

en construction

Définition

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Voir aussi logique floue, neuro-flou et série chronologique

Français

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Anglais

Adaptative Neuro Fuzzy Inference System

ANFIS

Adaptive Network-based Fuzzy Inference System

ANFIS is an artificial neural network, implemented in many fields of time series research, that combines the robustness and learning capabilities of neural network with the ability to model imprecise knowledge using fuzzy logic.

Lagrange Multiplier test is used for testing hypothesis of adding variables in ANFIS modeling.

Source

Source : IOP Science

Source : ScienceDirect

Source : Wikipedia

Contributeurs: Arianne