A data-driven approach to predict the compressive strength of alkali-activated materials and correlation of influencing parameters using SHapley Additive exPlanations (SHAP) analysis

A data-driven approach to predict the compressive strength of alkali-activated materials and correlation of influencing parameters using SHapley Additive exPlanations (SHAP) analysis

This research used gene expression programming (GEP) and multi expression programming (MEP) to determine the compressive strength (CS) of alkali-activated material (AAM) to compare and develop more reliable genetic algorithm-based prediction models. To learn more about how raw ingredients affect and...

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Bibliographic Details
Main Authors: Xinliang Zheng, Yi Xie, Xujiao Yang, Muhammad Nasir Amin, Sohaib Nazar, Suleman Ayub Khan, Fadi Althoey, Ahmed Farouk Deifalla
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Journal of Materials Research and Technology
Subjects:
Alkali-activated materials
Sustainable materials
Compressive strength
Prediction models
SHAP analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785423014552

Internet

http://www.sciencedirect.com/science/article/pii/S2238785423014552

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