9 citations to 10.1090/surv/263 (Crossref Cited-By Service)

1. Elif Demirci, Fatma Karakoç, Aysen Kütahyalıoglu, “Mittag‐Leffler stability of neural networks with Caputo–Hadamard fractional derivative”, Math Methods in App Sciences, 2024, mma.10111  
2. Aida KH. Asgarova, Ali A. Huseynli, Vugar E. Ismailov, “A Chebyshev-type alternation theorem for best approximation by a sum of two algebras”, Proceedings of the Edinburgh Mathematical Society, 66, № 4, 2023, 971  
3. Aysu Ismayilova, Muhammad Ismayilov, “On the universal approximation property of radial basis function neural networks”, Ann Math Artif Intell, 2023  
4. Muhammad Ismayilov, “Sharp upper and lower estimates for the approximation of bivariate functions by sums of univariate functions”, J Anal, 2024  
5. Keito Akiyama, “Approximation error estimates by noise‐injected neural networks”, Math Methods in App Sciences, 2024, mma.10288  
6. David E. Stewart, Explorations in the Mathematics of Data Science, 2024, 85  
7. Alexey Rostislavovich Alimov, Igor' Germanovich Tsar'kov, “Чебышeвские множества, составленные из объединения подпространств в несимметрично нормированных пространствах”, Известия Российской академии наук. Серия математическая, 88, № 6, 2024, 23  
8. Alexey Rostislavovich Alimov, Igor' Germanovich Tsar'kov, “Chebyshev sets composed of subspaces in asymmetric normed spaces”, Izv. Math., 88, № 6, 2024, 1032  
9. Seda Karateke, “Complex-Valued Multivariate Neural Network (MNN) Approximation by Parameterized Half-Hyperbolic Tangent Function”, Mathematics, 13, № 3, 2025, 453