Adaptive Network-based Fuzzy Inference Systems (ANFIS) optimization based on Particle Swarm Optimization (PSO) / Abdellah Djoudi  

Public ISBD Titre : Adaptive Network-based Fuzzy Inference Systems (ANFIS) optimization based on Particle Swarm Optimization (PSO) Type de document : texte imprimé Auteurs : Abdellah Djoudi, Auteur ; Sebti, Rabah, Auteur ; Mohamed Abderraouf Ferradji, Directeur de thèse Année de publication : 2022 Importance : 1 vol (48 f .) Format : 29cm Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Neuronal network (NN) Index. décimale : 004 Informatique Résumé : Adaptive Network-based Fuzzy Inference System (ANFIS) is a kind of artificial neural networks that is used to find the relationships between input and output parameters in different domains. but, the optimization of ANFIS parameters represents an important problem that has been recently addressed by researchers. In this work, we try to optimize the parameters of Adaptive Network-based Fuzzy Inference System (ANFIS) using an optimization method which is called Particle Swarm Optimization (PSO). The new model is named as ANFIS-PSO. PSO is a metaheuristic algorithm that is based on the swarm intelligence concept (such as the flocking of birds) for solving complex optimization problems. The experimental results showed a significant improvement by applying the hybrid model (ANFIS-PSO), which shows and confirms the accuracy of the composite model and its ability to improve performance in search of more accurate results Côte titre : MAI/0581 En ligne : https://drive.google.com/file/d/1XPxFMkKMzacZHEf9u9o0ntH7yfM46T3v/view?usp=share [...] Format de la ressource électronique : pdf Adaptive Network-based Fuzzy Inference Systems (ANFIS) optimization based on Particle Swarm Optimization (PSO) [texte imprimé] / Abdellah Djoudi, Auteur ; Sebti, Rabah, Auteur ; Mohamed Abderraouf Ferradji, Directeur de thèse . - 2022 . - 1 vol (48 f .) ; 29cm. Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Neuronal network (NN) Index. décimale : 004 Informatique Résumé : Adaptive Network-based Fuzzy Inference System (ANFIS) is a kind of artificial neural networks that is used to find the relationships between input and output parameters in different domains. but, the optimization of ANFIS parameters represents an important problem that has been recently addressed by researchers. In this work, we try to optimize the parameters of Adaptive Network-based Fuzzy Inference System (ANFIS) using an optimization method which is called Particle Swarm Optimization (PSO). The new model is named as ANFIS-PSO. PSO is a metaheuristic algorithm that is based on the swarm intelligence concept (such as the flocking of birds) for solving complex optimization problems. The experimental results showed a significant improvement by applying the hybrid model (ANFIS-PSO), which shows and confirms the accuracy of the composite model and its ability to improve performance in search of more accurate results Côte titre : MAI/0581 En ligne : https://drive.google.com/file/d/1XPxFMkKMzacZHEf9u9o0ntH7yfM46T3v/view?usp=share [...] Format de la ressource électronique : pdf

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
MAI/0581	MAI/0581	Mémoire	Bibliothéque des sciences	Anglais	Disponible Disponible

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