APA (7th ed.) Citation

Liu, Y., & Yang, D. (2017). Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing L1/2 regularization for the first-order Takagi–Sugeno system. Fuzzy sets and systems, 319, 28-49. https://doi.org/10.1016/j.fss.2016.07.003

Chicago Style (17th ed.) Citation

Liu, Yan, and Dakun Yang. "Convergence Analysis of the Batch Gradient-based Neuro-fuzzy Learning Algorithm with Smoothing L1/2 Regularization for the First-order Takagi–Sugeno System." Fuzzy Sets and Systems 319 (2017): 28-49. https://doi.org/10.1016/j.fss.2016.07.003.

MLA (9th ed.) Citation

Liu, Yan, and Dakun Yang. "Convergence Analysis of the Batch Gradient-based Neuro-fuzzy Learning Algorithm with Smoothing L1/2 Regularization for the First-order Takagi–Sugeno System." Fuzzy Sets and Systems, vol. 319, 2017, pp. 28-49, https://doi.org/10.1016/j.fss.2016.07.003.