Cite
Stability of Gated Recurrent Unit Neural Networks: Convex Combination Formulation Approach.
MLA
Stipanović, Dušan M., et al. “Stability of Gated Recurrent Unit Neural Networks: Convex Combination Formulation Approach.” Journal of Optimization Theory & Applications, vol. 188, no. 1, Jan. 2021, pp. 291–306. EBSCOhost, https://doi.org/10.1007/s10957-020-01776-w.
APA
Stipanović, D. M., Kapetina, M. N., Rapaić, M. R., & Murmann, B. (2021). Stability of Gated Recurrent Unit Neural Networks: Convex Combination Formulation Approach. Journal of Optimization Theory & Applications, 188(1), 291–306. https://doi.org/10.1007/s10957-020-01776-w
Chicago
Stipanović, Dušan M., Mirna N. Kapetina, Milan R. Rapaić, and Boris Murmann. 2021. “Stability of Gated Recurrent Unit Neural Networks: Convex Combination Formulation Approach.” Journal of Optimization Theory & Applications 188 (1): 291–306. doi:10.1007/s10957-020-01776-w.