A comparative study of prediction of compressive strength of ultra‐high performance concrete using soft computing technique

Concrete which is the most commercialized construction material and thus it plays a key role in this era of development and hence its evolution is of utmost importance and therefore the evolution of the quality of concrete to that of its highly evolved type namely, ultra‐high performance concrete (U...

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Veröffentlicht in:	Structural concrete : journal of the FIB 2023-08, Vol.24 (4), p.5538-5555
Hauptverfasser:	Kumar, Rakesh, Rai, Baboo, Samui, Pijush
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Commercialization Comparative studies Compressive strength Construction materials deep neural network Evolution extra tree regressor extreme gradient boosting gradient boosting Machine learning Mixtures random forest regressor Regression models Soft computing Statistical analysis Ultra high performance concrete voting regressor
Online-Zugang:	Volltext
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