Group Method of Data Handling Neural Networks (GMDH-NN) in predicting the unconfined compressive strength of two mine tailings matrices for potential use in sustainable road base construction in cold regions
Ali A. Mahmood, Maria Elektorowicz
Dans les comptes rendus d’articles de la conférence: GeoSaskatoon 2023: 76th Canadian Geotechnical ConferenceSession: Case Studies 2
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Mahmood, Ali A., Elektorowicz, Maria (2023) Group Method of Data Handling Neural Networks (GMDH-NN) in predicting the unconfined compressive strength of two mine tailings matrices for potential use in sustainable road base construction in cold regions in GEO2023. Ottawa, Ontario: Canadian Geotechnical Society.
@inproceedings{Mahmood_GEO2023_139,
author = {{Mahmood, Ali A.}, {Elektorowicz, Maria}}
title = {Group Method of Data Handling Neural Networks (GMDH-NN) in predicting the unconfined compressive strength of two mine tailings matrices for potential use in sustainable road base construction in cold regions }
booktitle = {Proceedings of the 76th Canadian Geotechnical Conference}
year = {2023}
organization = {The Canadian Geotechnical Society},
address = {Ottawa, Canada} }
title = {Group Method of Data Handling Neural Networks (GMDH-NN) in predicting the unconfined compressive strength of two mine tailings matrices for potential use in sustainable road base construction in cold regions }
booktitle = {Proceedings of the 76th Canadian Geotechnical Conference}
year = {2023}
organization = {The Canadian Geotechnical Society},
address = {Ottawa, Canada} }