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Prediction of Concrete Compressive Strength Using a Back-Pr..:
Reza Kashyzadeh, Kazem
;
Amiri, Nima
;
Ghorbani, Siamak
.
Buildings. 12 (2022) 4 - p. 438 , 2022
Link:
https://doi.org/10.3390/buildings12040438
RT Journal T1
Prediction of Concrete Compressive Strength Using a Back-Propagation Neural Network Optimized by a Genetic Algorithm and Response Surface Analysis Considering the Appearance of Aggregates and Curing Conditions
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_buildings12040438&Exemplar=1&LAN=DE A1 Reza Kashyzadeh, Kazem A1 Amiri, Nima A1 Ghorbani, Siamak A1 Souri, Kambiz PB MDPI AG YR 2022 SN 2075-5309 JF Buildings VO 12 IS 4 SP 438 LK http://dx.doi.org/https://doi.org/10.3390/buildings12040438 DO https://doi.org/10.3390/buildings12040438 SF ELIB - SuUB Bremen
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