2024
DOI: 10.1590/1517-7076-rmat-2023-0247
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Prediction of autoclaved aerated cement block masonry prism strength under compression using machine learning tools

Soundar Rajan Muthukumar,
Jegatheeswaran

Abstract: When the only information available is the issue parameters, and the intended outwards, machine learning techniques like ANN (Artificial Neural Networks) and ANFIS (Adaptive neuro-fuzzy inference system) been proven to address the complex problems without duplicating the phenomena under investigation. The main prompting characteristics are the height-to-the-thicknesses ratio of prisms and the strength under compression of prisms and mortar were analyzed. As inputs, the prototypes are used as blocks and mortars… Show more

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