Prediction of geotechnical properties of clayey soils stabilised with lime using artificial neural networks (ANNs) I Taleb Bahmed, K Harichane, M Ghrici, B Boukhatem, R Rebouh, ... International Journal of Geotechnical Engineering 13 (2), 191-203, 2019 | 62 | 2019 |
A practical hybrid NNGA system for predicting the compressive strength of concrete containing natural pozzolan using an evolutionary structure R Rebouh, B Boukhatem, M Ghrici, A Tagnit-Hamou Construction and Building Materials 149, 778-789, 2017 | 55 | 2017 |
An intelligent hybrid system for predicting the tortuosity of the pore system of fly ash concrete B Boukhatem, R Rebouh, A Zidol, M Chekired, A Tagnit-Hamou Construction and Building Materials 205, 274-284, 2019 | 21 | 2019 |
Neural network model for predicting the carbonation depth of slag concrete Y Kellouche, B Boukhatem, M Ghrici, R Rebouh, A Zidol Asian Journal of Civil Engineering 22 (7), 1401-1414, 2021 | 19 | 2021 |
Formulation des bétons avec ajout par l'utilisation des réseaux de neurones R Rebouh Mohamed GHRICI, 2011 | 3 | 2011 |
Predicting the shear strength of rectangular RC beams strengthened with externally-bonded FRP composites using constrained monotonic neural networks A Benzaamia, M Ghrici, R Rebouh, N Zygouris, PG Asteris Engineering Structures 313, 118192, 2024 | 2 | 2024 |
ELABORATION D’UN LOGICIEL DE FORMULATION DES BETONS CONTENANT DES AJOUTS CIMENTAIRES R REBOUH Mohamed GHRICI/Arezki TAGNIT-HAMOU, 2018 | | 2018 |
Prévision de la résistance a la compression des bétons aux ajouts cimentaires à l’aide de la technique hybride RNAs et les GAs R REBOUH Défi des quadrans, ACI Sherbrooke., 2017 | | 2017 |
Journée d’étude sur la Dynamique des Sols et l'Interaction Sol-Structure B Boukhatem, R Rebouh, MA Khellafi, A Chehat, FZ Hadj-Henni, ... Université Hassiba Benbouali de Chlef, 2013 | | 2013 |
Machine Learning Approaches for Predicting Compressive and Shear Strength of EB FRP-Reinforced Concrete Elements: A Comprehensive Review A Benzaamia, M Ghrici, R Rebouh New Advances in Soft Computing in Civil Engineering: AI-Based Optimization …, 0 | | |