Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm

This research presents a new model for finding optimal conditions in the concrete technology area. To do that, results of a series of laboratory investigations on concrete samples were considered and used to design several artificial intelligence (AI) models. The data samples include 8 parameters i....

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Veröffentlicht in:Engineering with computers Jg. 38; H. 4; S. 3151 - 3168
Hauptverfasser: Huang, Jiandong, Sun, Yuantian, Zhang, Junfei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Springer London 01.08.2022
Springer Nature B.V
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ISSN:0177-0667, 1435-5663
Online-Zugang:Volltext
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