ESTIMATION OF RESIDUAL FRICTION ANGLE OF CLAY SOILS USING ARTIFICIAL NEURAL NETWORKS MODELLING
Mostafa Abolfazl Zadeh, Amin Falamaki
In the proceedings of: GeoQuébec 2015: 68th Canadian Geotechnical Conference & 7th Canadian Permafrost ConferenceSession: Physical and Numerical Modelling / Modélisation physique et numérique
Please include this code when submitting a data update: GEO2015_575
Access this article:
Canadian Geotechnical Society members can access to this article, along with all other Canadian Geotechnical Conference proceedings, in the Member Area. Conference proceedings are also available in many libraries.
Cite this article:
Zadeh, Mostafa Abolfazl, Falamaki, Amin (2015) ESTIMATION OF RESIDUAL FRICTION ANGLE OF CLAY SOILS USING ARTIFICIAL NEURAL NETWORKS MODELLING in GEO2015. Ottawa, Ontario: Canadian Geotechnical Society.
@inproceedings{Zadeh_GEO2015_575,
author = {{Zadeh, Mostafa Abolfazl}, {Falamaki, Amin}}
title = {ESTIMATION OF RESIDUAL FRICTION ANGLE OF CLAY SOILS USING ARTIFICIAL NEURAL NETWORKS MODELLING}
booktitle = {Proceedings of the 68th Canadian Geotechnical Conference & 7th Canadian Permafrost Conference}
year = {2015}
organization = {The Canadian Geotechnical Society},
address = {Ottawa, Canada} }
title = {ESTIMATION OF RESIDUAL FRICTION ANGLE OF CLAY SOILS USING ARTIFICIAL NEURAL NETWORKS MODELLING}
booktitle = {Proceedings of the 68th Canadian Geotechnical Conference & 7th Canadian Permafrost Conference}
year = {2015}
organization = {The Canadian Geotechnical Society},
address = {Ottawa, Canada} }
