Article Versions Notes

Zeng J, Asteris PG, Mamou AP, Mohammed AS, Golias EA, Armaghani DJ, Faizi K, Hasanipanah M. The Effectiveness of Ensemble-Neural Network Techniques to Predict Peak Uplift Resistance of Buried Pipes in Reinforced Sand. Applied Sciences. 2021; 11(3):908. https://doi.org/10.3390/app11030908

Zeng, Jie, Panagiotis G. Asteris, Anna P. Mamou, Ahmed Salih Mohammed, Emmanuil A. Golias, Danial Jahed Armaghani, Koohyar Faizi, and Mahdi Hasanipanah. 2021. "The Effectiveness of Ensemble-Neural Network Techniques to Predict Peak Uplift Resistance of Buried Pipes in Reinforced Sand" Applied Sciences 11, no. 3: 908. https://doi.org/10.3390/app11030908

Zeng, J., Asteris, P. G., Mamou, A. P., Mohammed, A. S., Golias, E. A., Armaghani, D. J., Faizi, K., & Hasanipanah, M. (2021). The Effectiveness of Ensemble-Neural Network Techniques to Predict Peak Uplift Resistance of Buried Pipes in Reinforced Sand. Applied Sciences, 11(3), 908. https://doi.org/10.3390/app11030908