Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete

Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete

The file presents data points used for training and testing ML methods of the paper "Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete", which was published in Engineering Applications of Artificial Intelligence. Please check the pap...

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Bibliographische Detailangaben
Hauptverfasser: Shafighfard, Torkan, Kazemi, Farzin, Asgarkhani, Neda
Format: Dataset
Sprache:eng
Schlagworte:
Artificial Neural Network
Civil Engineering
Data Analysis
Data Science
FOS: Civil engineering
Machine Learning
Structural Engineering
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Beschreibung
Zusammenfassung:The file presents data points used for training and testing ML methods of the paper "Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete", which was published in Engineering Applications of Artificial Intelligence. Please check the paper for more details of the references used to gather those data points.
DOI:10.17632/3p2w6ggbd3