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Number of items: 7.

Article

HICHAM EL BADAOUI, and ABDELAZIZ ABDALLAOUI, and SAMIRA CHABAA, (2014) Multilayer Perceptron and Radial Basis Function network to predict the moisture. International Journal of Innovation and Scientific Research, Vol. 5 No. 1 Jul.2014, 55-67..

ABDELLAH EL HMAIDI, and HICHAM EL BADAOUI, and ABDELAZIZ ABDALLAOUI, and BOUCHTA EL MOUMNI, (2013) Application des réseaux de neurones artificiels de type PMC pour la prédiction des teneurs en carbone organique dans les dépôts du quaternaire terminal de la mer d’alboran. European Journal of Scientific Research, Vol.107 No.4 ( 2013 ) , pp.400-413.

HICHAM EL BADAOUI, and ABDELAZIZ ABDALLAOUI, and IMAD MANSSOURI, and L. LANCELOT, (2013) Application of the artificial neural networks of MLP type for the prediction of the levels of heavy metals in Moroccan aquatic sediments. International Journal of Computational Engineering Research, Vol, 03, Issue, 6. June2013, 75- 82..

HICHAM EL BADAOUI, and ABDELAZIZ ABDALLAOUI, and SAMIRA CHABAA, (2013) Etude des effets des algorithmes d’apprentissage et des fonctions de transfert sur la performance des modèles statistiques neuronaux : Application dans le domaine météorologique. International Journal of Engineering Research and Development, Volume 9, Issue 6,2013, PP. 15-26..

HICHAM EL BADAOUI, and ABDELAZIZ ABDALLAOUI, and SAMIRA CHABAA, (2013) Using MLP neural networks for predicting global solar radiation. The International Journal of Engineering And Science (IJES), Volume 2, Issue12,2013, pp. 48-56..

HICHAM EL BADAOUI, and ABDELAZIZ ABDALLAOUI, and IMAD MANSSOURI, and HABIBA OUSMANA, (2013) The prediction of moisture through the use of neural networks MLP type. IOSR Journal of Computer Engineering (IOSR-JCE), Volume 11, Issue 6 (May. - Jun.2013), 66-74.

HICHAM EL BADAOUI, and ABDELAZIZ ABDALLAOUI, and ABDELALI ER-RADOUANI, and LAURENT LANCELOT, (2012) Development of stochastic mathematical models for prediction of heavy metal content of surface waters using artificial neural networks and multiple linear regression. J. Hydrocarb. mines environ. Res. Vol. 3(2), 2012, PP. 160.

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