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1 Ergebnisse
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Hybrid intelligence models for compressive strength predict..:
Haque, M. Aminul
;
Chen, Bing
;
Kashem, Abul
..
Materials Today Communications. 35 (2023) - p. 105547 , 2023
Link:
https://doi.org/10.1016/j.mtcomm.2023.105547
RT Journal T1
Hybrid intelligence models for compressive strength prediction of MPC composites and parametric analysis with SHAP algorithm
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.mtcomm.2023.105547&Exemplar=1&LAN=DE A1 Haque, M. Aminul A1 Chen, Bing A1 Kashem, Abul A1 Qureshi, Tanvir A1 Ahmed, Abul Abrar Masrur PB Elsevier BV YR 2023 SN 2352-4928 JF Materials Today Communications VO 35 SP 105547 LK http://dx.doi.org/https://doi.org/10.1016/j.mtcomm.2023.105547 DO https://doi.org/10.1016/j.mtcomm.2023.105547 SF ELIB - SuUB Bremen
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