Gao, Y.; Huang, G.; Li, Y.; Zhang, J.; Yang, Z.; Wang, M.
The Data-Driven Homogenization of Mohr–Coulomb Parameters Based on a Bayesian Optimized Back Propagation Artificial Neural Network (BP-ANN). Appl. Sci. 2023, 13, 11966.
https://doi.org/10.3390/app132111966
AMA Style
Gao Y, Huang G, Li Y, Zhang J, Yang Z, Wang M.
The Data-Driven Homogenization of Mohr–Coulomb Parameters Based on a Bayesian Optimized Back Propagation Artificial Neural Network (BP-ANN). Applied Sciences. 2023; 13(21):11966.
https://doi.org/10.3390/app132111966
Chicago/Turabian Style
Gao, Yunfei, Guogui Huang, Yinxi Li, Junyuan Zhang, Zeng Yang, and Meng Wang.
2023. "The Data-Driven Homogenization of Mohr–Coulomb Parameters Based on a Bayesian Optimized Back Propagation Artificial Neural Network (BP-ANN)" Applied Sciences 13, no. 21: 11966.
https://doi.org/10.3390/app132111966
APA Style
Gao, Y., Huang, G., Li, Y., Zhang, J., Yang, Z., & Wang, M.
(2023). The Data-Driven Homogenization of Mohr–Coulomb Parameters Based on a Bayesian Optimized Back Propagation Artificial Neural Network (BP-ANN). Applied Sciences, 13(21), 11966.
https://doi.org/10.3390/app132111966