Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rkia Fajr"'
Autor:
Rkia Fajr, Abdelaziz Bouroumi
Publikováno v:
Journal of Intelligent Systems, Vol 29, Iss 1, Pp 127-142 (2017)
This paper introduces a new variant of the particle swarm optimization (PSO) algorithm, designed for global optimization of multidimensional functions. The goal of this variant, called ImPSO, is to improve the exploration and exploitation abilities o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a38804cc649782c0344446ebdcc976c
https://doaj.org/article/ce56e8a4007d4cbdba9b46ff746b208c
https://doaj.org/article/ce56e8a4007d4cbdba9b46ff746b208c
Publikováno v:
Applied Mathematical Sciences. 7:4415-4423
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be5dd0fc759a25c845ae8e87fd112493
https://doi.org/10.12988/ams.2013.35293
https://doi.org/10.12988/ams.2013.35293
Publikováno v:
International Journal of Soft Computing. 7:191-198
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9e6f454637fdff4f0fba1a8480b6c7a
https://doi.org/10.3923/ijscomp.2012.191.198
https://doi.org/10.3923/ijscomp.2012.191.198
Publikováno v:
2014 Second World Conference on Complex Systems (WCCS).
We propose a machine learning method for breast cancer data analysis and classification, based on support vector machines (SVM) and particle swarm optimization (PSO). This method uses SVM as a model for supervised learning with the goal of minimizing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b300443c256dc45f8094953cc11c4eec
https://doi.org/10.1109/icocs.2014.7060900
https://doi.org/10.1109/icocs.2014.7060900
Autor:
Rkia Fajr, Abdelaziz Bouroumi
Publikováno v:
SITA
We propose a hybrid procedure for the problem of unsupervised learning, based on a combination of fuzzy clustering and particle swarm optimization. Candidate solutions to this problem are considered by this procedure as particles that evolve in a swa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::785afda58bc4e3ebc68dd22761b4c64f
https://doi.org/10.1109/sita.2014.6847277
https://doi.org/10.1109/sita.2014.6847277
Publikováno v:
2013 8th International Conference on Intelligent Systems: Theories and Applications (SITA).
In this paper, we present a semi-fuzzy collaborative algorithm for detecting the optimal number of clusters in a given data set of unlabeled objects. This algorithm is based on a measure of inter-points similarity that allows the detection and creati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2cbca341140ee256f942f71d280f723
https://doi.org/10.1109/sita.2013.6560795
https://doi.org/10.1109/sita.2013.6560795
Autor:
Rkia Fajr, Abdelaziz Bouroumi
Publikováno v:
International Journal of Emerging Technologies in Learning (iJET). 9:66
We present the results of a case study concerning the introduction of collaborative and cooperative e-learning strategies in higher education in Morocco. This study was conducted using the on-line version of a one semester course designed for two gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c02f3d711a722ccec6c4103d8f5b8f3c
https://doi.org/10.3991/ijet.v9i1.3065
https://doi.org/10.3991/ijet.v9i1.3065