Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete
Abstract
The experimental design of high-strength concrete (HSC) requires deep analysis to get the target strength. In this study, machine learning approaches and artificial intelligence python-based approaches have been utilized to predict the mechanical behaviour of HSC. The data to be used in the modelling consist of several input parameters such as cement, water, fine aggregate, and coarse aggregate in combination with a superplasticizer. Empirical...
Paper Details
Title
Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete
Published Date
Sep 26, 2020
Volume
2020
Pages
1 - 23
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