Multivariate formulation to predict the frictional strength of fiber reinforced soils using gene expression programming-Reference-Cited by-同舟云学术

Multivariate formulation to predict the frictional strength of fiber reinforced soils using gene expression programming

Published:2024-08 Issue: Volume:134 Page:108660
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Nawaz Muhammad Naqeeb,Akhtar Ahmed Yar^ORCID,Awan Tariq Ahmed,Nawaz Muhammad Muneeb,Qamar Sana Ullah^ORCID,Shehzad Taimoor,Hassan Waqas,Khan Shah Rukh,Farooq Rashid

Publisher

Elsevier BV

Reference69 articles.

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4. Behavior of granular soils reinforced with discrete randomly oriented inclusions;Al-Refeai;Geotext. Geomembranes,1991

5. Development of evaluation framework for the unconfined compressive strength of soils based on the fundamental soil parameters using gene expression programming and deep learning methods;Al Bodour;J. Mater. Civ. Eng.,2022

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