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Titre : Conception des Systèmes d’Inférence Floue par des Approches Hybr ides : Application pour la Commande et la Modélisation des Systèmes Nonlinéaires Type de document : texte imprimé Auteurs : Nesrine Talbi, Auteur ; Khaled Belarbi, Directeur de thèse Editeur : constantine [Algérie] : Université Constantine 1 Année de publication : 2014 Importance : 134 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Fuzzy rule base Tabu Search Genetic Algorithms Particle Swarm Optimization fuzzy controller monovariable system multivariable system fuzzy modeling Base de règles floues recherche Tabou Algorithmes Génétiques Optimisation par Essaim Particulaire contrôleur flou système monovariable système
multivariable modélisation floue ????? ?? ??????? ??????? ????? ???? ??????????? ??????? ??? ???????? ?????? ???? ?????? ?????? ???? ????? ??????? ???? ????? ????????? ? ??????? ???????Index. décimale : 621 Electronique Résumé : The work presented in this thesis revolves mainly around the main areas of modeling and fuzzy control of Takagi-Sugeno zero order for dynamic, complex and highly nonlinear systems.
First, a control law has been proposed using several hybrid algorithms based on the
combination of global search algorithms, Genetic Algorithms (GA) and Particle Swarm
Optimization (PSO) and the local search algorithm the Tabu Search (TS). The hybridization consists to combine the characteristics of these methods (GA -TS and PSO-TS) in order to reap the benefits of success for a good solution in a reduced calculation time, all ensuring the stability, accuracy and robustness controlled systems. For each control structure, examples of simulation applications were presented to justify the validity of the proposed approaches.
These results were compared with other techniques cited in references.
In the second phase, the identification of fuzzy models of Takagi-Sugeno zero-order
approximation for the nonlinear systems was performed using the two hybrid algorithms (GA -TS) and (PSO-TS). The modeling results were compared with those existed in the literature through a performance criterion.Diplôme : Doctorat en sciences En ligne : ../theses/electronique/TAL6467.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=9499 Conception des Systèmes d’Inférence Floue par des Approches Hybr ides : Application pour la Commande et la Modélisation des Systèmes Nonlinéaires [texte imprimé] / Nesrine Talbi, Auteur ; Khaled Belarbi, Directeur de thèse . - constantine (Route ain el bey, Algérie) : Université Constantine 1, 2014 . - 134 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Fuzzy rule base Tabu Search Genetic Algorithms Particle Swarm Optimization fuzzy controller monovariable system multivariable system fuzzy modeling Base de règles floues recherche Tabou Algorithmes Génétiques Optimisation par Essaim Particulaire contrôleur flou système monovariable système
multivariable modélisation floue ????? ?? ??????? ??????? ????? ???? ??????????? ??????? ??? ???????? ?????? ???? ?????? ?????? ???? ????? ??????? ???? ????? ????????? ? ??????? ???????Index. décimale : 621 Electronique Résumé : The work presented in this thesis revolves mainly around the main areas of modeling and fuzzy control of Takagi-Sugeno zero order for dynamic, complex and highly nonlinear systems.
First, a control law has been proposed using several hybrid algorithms based on the
combination of global search algorithms, Genetic Algorithms (GA) and Particle Swarm
Optimization (PSO) and the local search algorithm the Tabu Search (TS). The hybridization consists to combine the characteristics of these methods (GA -TS and PSO-TS) in order to reap the benefits of success for a good solution in a reduced calculation time, all ensuring the stability, accuracy and robustness controlled systems. For each control structure, examples of simulation applications were presented to justify the validity of the proposed approaches.
These results were compared with other techniques cited in references.
In the second phase, the identification of fuzzy models of Takagi-Sugeno zero-order
approximation for the nonlinear systems was performed using the two hybrid algorithms (GA -TS) and (PSO-TS). The modeling results were compared with those existed in the literature through a performance criterion.Diplôme : Doctorat en sciences En ligne : ../theses/electronique/TAL6467.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=9499 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité TAL/6467 TAL/6467 Thèse Bibliothèque principale Thèses Disponible Documents numériques
texte intégraleAdobe Acrobat PDF
Titre : Évaluation de la qualité perceptuelle des signaux multimédias : Évaluation multi-critère basée sur la fusion des métriques. Type de document : texte imprimé Auteurs : Borhen Eddine Dakkar, Auteur ; Fella Hachouf, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2017 Importance : 109 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles. Langues : Français (fre) Catégories : Français - Anglais
ElectroniqueTags : Qualité d’image sans référence fusion de mesures évaluation de la qualité perceptuelle machine à vecteur de support optimisation des essaimes de particules vision binoculaire No reference image quality metric fusion perceptual quality evaluation support vector regression particle swarm optimization binocular vision ?????? ????? ?????? ?????? ??? ???????? ?????? ????????? ?????? ?????? ??????? ???????? ??????? ?? ???? ??? ?????? ????? ????? ????? ??????? Index. décimale : 621 Electronique Résumé : Quantifying image quality without reference is still a challenging problem, especially when different distortions affect the observed image. One no-reference metric is not able to assess the different distortions presented in the images. In this work, we have focused on the assessment based on a fusion scheme of multiple distortion measures. These metrics are built in two stages. First, a set of relevant image quality assessment metrics is used to evaluate the perceptual quality. Then, a support vector regression (SVR)-based fusion strategy is adopted to derive the overall index of image quality.
For the 2D metric, we have used the particle swarm optimization to select the appropriate metrics. While for the 3D metric, we have incorporated the binocular vision in the assessment process. To evaluate the performance of the proposed metrics, different image databases have been used. The obtained results demonstrate clearly that the proposed approaches outperform the stateof-the-art NR-IQA methods. Furthermore, the proposed approaches are flexible and could be extended to other distortions.
Diplôme : Doctorat En ligne : ../theses/electronique/DAR7198.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10765 Évaluation de la qualité perceptuelle des signaux multimédias : Évaluation multi-critère basée sur la fusion des métriques. [texte imprimé] / Borhen Eddine Dakkar, Auteur ; Fella Hachouf, Directeur de thèse . - [S.l.] : جامعة الإخوة منتوري قسنطينة, 2017 . - 109 f. ; 30 cm.
2 copies imprimées disponibles.
Langues : Français (fre)
Catégories : Français - Anglais
ElectroniqueTags : Qualité d’image sans référence fusion de mesures évaluation de la qualité perceptuelle machine à vecteur de support optimisation des essaimes de particules vision binoculaire No reference image quality metric fusion perceptual quality evaluation support vector regression particle swarm optimization binocular vision ?????? ????? ?????? ?????? ??? ???????? ?????? ????????? ?????? ?????? ??????? ???????? ??????? ?? ???? ??? ?????? ????? ????? ????? ??????? Index. décimale : 621 Electronique Résumé : Quantifying image quality without reference is still a challenging problem, especially when different distortions affect the observed image. One no-reference metric is not able to assess the different distortions presented in the images. In this work, we have focused on the assessment based on a fusion scheme of multiple distortion measures. These metrics are built in two stages. First, a set of relevant image quality assessment metrics is used to evaluate the perceptual quality. Then, a support vector regression (SVR)-based fusion strategy is adopted to derive the overall index of image quality.
For the 2D metric, we have used the particle swarm optimization to select the appropriate metrics. While for the 3D metric, we have incorporated the binocular vision in the assessment process. To evaluate the performance of the proposed metrics, different image databases have been used. The obtained results demonstrate clearly that the proposed approaches outperform the stateof-the-art NR-IQA methods. Furthermore, the proposed approaches are flexible and could be extended to other distortions.
Diplôme : Doctorat En ligne : ../theses/electronique/DAR7198.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10765 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité DAR/7198 DAR/7198 Thèse Bibliothèque principale Thèses Disponible
