Smart Predictive Modeling for Compressive Strength in Sisal-Fiber-Reinforced-Concrete Composites: Harnessing SVM, GP, and ANN Techniques

Ahmad, Soran Abdrahman; Ahmed, Hemn Unis; Rafiq, Serwan Khurshid; Mohammed, Bilal Kamal

doi:10.1007/s42493-024-00110-0

Multiscale Sci. Eng.

2024

DOI: 10.1007/s42493-024-00110-0

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Smart Predictive Modeling for Compressive Strength in Sisal-Fiber-Reinforced-Concrete Composites: Harnessing SVM, GP, and ANN Techniques

Soran Abdrahman Ahmad,

Hemn Unis Ahmed,

Serwan Khurshid Rafiq

et al.

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Cited by 3 publications

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Smart Predictive Modeling for Compressive Strength in Sisal-Fiber-Reinforced-Concrete Composites: Harnessing SVM, GP, and ANN Techniques

Cited by 3 publications

References 38 publications

Predicting split tensile strength in Portland and geopolymer concretes using machine learning algorithms: a comparative study

Predicting split tensile strength in Portland and geopolymer concretes using machine learning algorithms: a comparative study

Advances in Finite Element Analysis for Cancer Therapy Focusing on Magnetic Nanoparticle Hyperthermia

Using genetic algorithm for optimisation of cracking time during the breaking of concrete bloc with expansive cement

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