APA (7th ed.) Citation

Rahimzad, M., Moghaddam Nia, A., Zolfonoon, H., Soltani, J., Danandeh Mehr, A., & Kwon, H. (2021). Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting. Water resources management, 35(12), 4167-4187. https://doi.org/10.1007/s11269-021-02937-w

Chicago Style (17th ed.) Citation

Rahimzad, Maryam, Alireza Moghaddam Nia, Hosam Zolfonoon, Jaber Soltani, Ali Danandeh Mehr, and Hyun-Han Kwon. "Performance Comparison of an LSTM-based Deep Learning Model Versus Conventional Machine Learning Algorithms for Streamflow Forecasting." Water Resources Management 35, no. 12 (2021): 4167-4187. https://doi.org/10.1007/s11269-021-02937-w.

MLA (9th ed.) Citation

Rahimzad, Maryam, et al. "Performance Comparison of an LSTM-based Deep Learning Model Versus Conventional Machine Learning Algorithms for Streamflow Forecasting." Water Resources Management, vol. 35, no. 12, 2021, pp. 4167-4187, https://doi.org/10.1007/s11269-021-02937-w.