APA (7th ed.) Citation

Shan, F., He, X., Armaghani, D. J., & Sheng, D. (2024). Effects of data smoothing and recurrent neural network (RNN) algorithms for real-time forecasting of tunnel boring machine (TBM) performance. Journal of Rock Mechanics and Geotechnical Engineering, 16(5), 1538-1551. https://doi.org/10.1016/j.jrmge.2023.06.015

Chicago Style (17th ed.) Citation

Shan, Feng, Xuzhen He, Danial Jahed Armaghani, and Daichao Sheng. "Effects of Data Smoothing and Recurrent Neural Network (RNN) Algorithms for Real-time Forecasting of Tunnel Boring Machine (TBM) Performance." Journal of Rock Mechanics and Geotechnical Engineering 16, no. 5 (2024): 1538-1551. https://doi.org/10.1016/j.jrmge.2023.06.015.

MLA (9th ed.) Citation

Shan, Feng, et al. "Effects of Data Smoothing and Recurrent Neural Network (RNN) Algorithms for Real-time Forecasting of Tunnel Boring Machine (TBM) Performance." Journal of Rock Mechanics and Geotechnical Engineering, vol. 16, no. 5, 2024, pp. 1538-1551, https://doi.org/10.1016/j.jrmge.2023.06.015.