APA (7th ed.) Citation

Liu, J., Li, W., Yu, L., Wu, M., Sun, L., Li, W., & Li, Y. (2023). SNR: Symbolic network-based rectifiable learning framework for symbolic regression. Neural Networks, 165, 1021. https://doi.org/10.1016/j.neunet.2023.06.046

Chicago Style (17th ed.) Citation

Liu, Jingyi, Weijun Li, Lina Yu, Min Wu, Linjun Sun, Wenqiang Li, and Yanjie Li. "SNR: Symbolic Network-based Rectifiable Learning Framework for Symbolic Regression." Neural Networks 165 (2023): 1021. https://doi.org/10.1016/j.neunet.2023.06.046.

MLA (9th ed.) Citation

Liu, Jingyi, et al. "SNR: Symbolic Network-based Rectifiable Learning Framework for Symbolic Regression." Neural Networks, vol. 165, 2023, p. 1021, https://doi.org/10.1016/j.neunet.2023.06.046.