Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aissa Mamoune, Sidi mohammed"'
Autor:
Yalaoui, Nadia, Trouzine, Habib, Meghachou, Mourad, Abbès, Boussad, Aissa Mamoune, Sidi Mohammed
Publikováno v:
Proceedings of the Institution of Civil Engineers: Engineering & Computational Mechanics; Jun2023, Vol. 176 Issue 2, p50-64, 15p
Publikováno v:
Canadian Journal of Civil Engineering; 2022, Vol. 49 Issue 6, p1040-1048, 9p
Publikováno v:
Periodica Polytechnica Civil Engineering.
Artificial neural network (ANN) is a soft computing technique that has been used to predict with accuracy compressive strength known for its high variability of values. ANN is used to develop a model that can predict compressive strength of rubberize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a869c17e527e0004d300c17bcf6a99e9
https://doi.org/10.3311/ppci.11928
https://doi.org/10.3311/ppci.11928
Publikováno v:
Geotechnical & Geological Engineering; Jun2020, Vol. 38 Issue 3, p3331-3340, 10p
Autor:
Ourrad, Soumia, Houmadi, Youcef, Ziadi, Abdel Kader, Aissa Mamoune, Sidi Mohammed, Lousdad, Abdelkader
Publikováno v:
Annales de Chimie Science des Matériaux; Aug2019, Vol. 43 Issue 4, p241-248, 8p
La variabilité spatiale de l’intensité et du dommage sismique sont attribuées aux conditions géotechniques et ce par les effets d’amplification, ce qui aggrave souvent le risque sismique. Dans la présente étude, l’évaluation de ce risque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2678::0d7f001b5912bcd6b036d96eefcef8cf
http://dspace.univ-tlemcen.dz/handle/112/579
http://dspace.univ-tlemcen.dz/handle/112/579
