Geopolymer Concrete Compressive Strength Data Set for ML
Published: 21 November 2023| Version 1 | DOI: 10.17632/ksvb32cvw6.1
Contributors:
, Description
this data set was prepared as part of a scientific paper conducted on the prediction of geopolymer concrete compressive strength using NNs. the data includes various input features such as fly ash amount, NaOH amount, GGBFS amount, recycled aggregate amount and ... against compressive strength. the data was gathered through experimental means in the laboratory with same ingredient, equipment and operators thus may include high bias against more variant data sets. this data set can be used in AI and Machine Learning models to further study the properties of geopolymer concrete.
Files
Institutions
Imam Khomeini International University
Categories
Artificial Neural Network, Machine Learning, Concrete Technology, Geopolymer