Stel’makh, S.A.; Shcherban’, E.M.; Beskopylny, A.N.; Mailyan, L.R.; Meskhi, B.; Razveeva, I.; Kozhakin, A.; Beskopylny, N.
Prediction of Mechanical Properties of Highly Functional Lightweight Fiber-Reinforced Concrete Based on Deep Neural Network and Ensemble Regression Trees Methods. Materials 2022, 15, 6740.
https://doi.org/10.3390/ma15196740
AMA Style
Stel’makh SA, Shcherban’ EM, Beskopylny AN, Mailyan LR, Meskhi B, Razveeva I, Kozhakin A, Beskopylny N.
Prediction of Mechanical Properties of Highly Functional Lightweight Fiber-Reinforced Concrete Based on Deep Neural Network and Ensemble Regression Trees Methods. Materials. 2022; 15(19):6740.
https://doi.org/10.3390/ma15196740
Chicago/Turabian Style
Stel’makh, Sergey A., Evgenii M. Shcherban’, Alexey N. Beskopylny, Levon R. Mailyan, Besarion Meskhi, Irina Razveeva, Alexey Kozhakin, and Nikita Beskopylny.
2022. "Prediction of Mechanical Properties of Highly Functional Lightweight Fiber-Reinforced Concrete Based on Deep Neural Network and Ensemble Regression Trees Methods" Materials 15, no. 19: 6740.
https://doi.org/10.3390/ma15196740
APA Style
Stel’makh, S. A., Shcherban’, E. M., Beskopylny, A. N., Mailyan, L. R., Meskhi, B., Razveeva, I., Kozhakin, A., & Beskopylny, N.
(2022). Prediction of Mechanical Properties of Highly Functional Lightweight Fiber-Reinforced Concrete Based on Deep Neural Network and Ensemble Regression Trees Methods. Materials, 15(19), 6740.
https://doi.org/10.3390/ma15196740