Fundamental machine learning algorithms and statistical models applied in strength prediction of geopolymers: a systematic review

Abstract The nonlinearity and heterogeneity of geopolymer mix design have urged the research community to supplement the existing experimental design approach with machine learning and empirical regression models to improve the practical strength performance of geopolymers. This systematic review ai...

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Hlavní autoři:	Jabulani Matsimbe, Megersa Dinka, David Olukanni, Innocent Musonda
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2024-10-01
Edice:	Discover Applied Sciences
Témata:	Compressive strength Geopolymer Regression modeling Machine learning Recycled waste materials
On-line přístup:	https://doi.org/10.1007/s42452-024-06244-y
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