APA (7th ed.) Citation

Liu, Y., Wang, R., Liu, Y., Shao, Q., Lv, Y., & Yu, Y. (2024). A Novel Learning Approach to Remove Oscillations in First‐Order Takagi–Sugeno Fuzzy System: Gradient Descent‐Based Neuro‐Fuzzy Algorithm Using Smoothing Group Lasso Regularization. Advanced theory and simulations, 7(2), -n/a. https://doi.org/10.1002/adts.202300545

Chicago Style (17th ed.) Citation

Liu, Yan, Rui Wang, Yuanquan Liu, Qiang Shao, Yan Lv, and Yan Yu. "A Novel Learning Approach to Remove Oscillations in First‐Order Takagi–Sugeno Fuzzy System: Gradient Descent‐Based Neuro‐Fuzzy Algorithm Using Smoothing Group Lasso Regularization." Advanced Theory and Simulations 7, no. 2 (2024): -n/a. https://doi.org/10.1002/adts.202300545.

MLA (9th ed.) Citation

Liu, Yan, et al. "A Novel Learning Approach to Remove Oscillations in First‐Order Takagi–Sugeno Fuzzy System: Gradient Descent‐Based Neuro‐Fuzzy Algorithm Using Smoothing Group Lasso Regularization." Advanced Theory and Simulations, vol. 7, no. 2, 2024, pp. -n/a, https://doi.org/10.1002/adts.202300545.