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HABIB DHAHRI
E-mail: habib.dhahri[at]ieee.org.
Web
Address :
http://www.regim.org/Membres/~dhahri_dhahri.
Tel. :
(+216) 74 274 088 (#597)
Fax : (+216) 74 275 595
Address : École
Nationale d'Ingénieurs de Sfax (ENIS), Route de Soukra, B.P. W, 3038 Sfax
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Tunisie.
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PhD Student : Computing
System engineering in National School of Engineers (ENIS),
University of Sfax, Tunisia.
Member of
IHR, Intelligent
Systems Architectures.
Secondary School Teacher.
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Master Degree / Postgraduate
Certificate
Spécialité
:New Technologies of Dedicated
Computing Systems NTSID in National School of Engineers (ENIS),
University of Sfax
, Tunisia, (2003)
Faculty of science of Sfax,
University of Sfax, Tunisia,
2001
Math,
Meknassy secondary school,
meknassy, Tunisia, 1996
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Neural Network,Optimisation,Machine learning
algorithm,Béta neural network.
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Master / Postgraduate
Certificate
"incremental learning algorithm for the
bêta basis function neural network".
abstract
"Design of the learning algorithm for the
bêta basis function neural network".
abstract
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H. Dhahri, M.A. Alimi,"
Hierarchical learning algorithm for the beta basis
function neural network",Proc. of
the third International Conference on Signals, Systems &
Devices,
2005.
.pdf
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H. Dhahri, M.A. Alimi, “The modified
differential evolution and the RBF (MDE-RBF) neural network for time
series prediction ”,Proc. of the 2006 IEEE World Congress on
Computational Intelligence, 2006, pp. 5245–5250.
.pdf
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Dhahri H., Alimi A.M.,
Automatic Selection for the Beta Basis Function
Neural Networks, International Workshop on
Nature Inspired Cooperative Strategies for
Optimization NICSO2007, Studies in Computational
Intelligence, pp. 461-474. <link>
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H. Dhahri, M.A.
Alimi, F.Karray ," The Modified Particle Swarm
Optimization for the Design of the Beta Basis
Function Neural Networks ", Proc. of the 2008
Congress on Evolutionary Computation (CEC08)
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H. Dhahri, M.A.
Alimi, F.Karray , "Designing Beta Basis Function
Neural Network for Optimization Using Particle
Swarm Optimization" , Proc. of the 2008 IEEE
International Joint Conference on Neural
Networks (IJCNN08)
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