Maria A. Stepanova, “Preorder on the set of analytic functions”, Журн. СФУ. Сер. Матем. и физ., 16:5 (2023), 681–689
Aysu Ismayilova, Muhammad Ismayilov, “On the universal approximation property of radial basis function neural networks”, Ann Math Artif Intell, 2023
R. Peleshchak, V. Lytvyn, I. Peleshchak, M. Doroshenko, R. Olyvko, “Hechth–Nielsen theorem for a modified neural network with diagonal synaptic connections”, Math. Model. Comput., 6:1 (2019), 101
Gromov M., “Geometric, algebraic, and analytic descendants of Nash isometric embedding theorems”, Bull. Amer. Math. Soc., 54:2 (2017), 173–245
Nicholas G. Polson, Vadim Sokolov, “Deep Learning: A Bayesian Perspective”, Bayesian Anal., 12:4 (2017)
Thanatkrit Kaewtem, “Entropy numbers in ‐Banach spaces”, Mathematische Nachrichten, 290:17-18 (2017), 2879
В. Э. Исмаилов, “Аппроксимация суммами ридж функций с фиксированными направлениями”, Алгебра и анализ, 28:6 (2016), 20–69 ; V. E. Ismailov, “Approximation by sums of ridge functions with fixed directions”, St. Petersburg Math. J., 28:6 (2017), 741–772
Askold Khovanskii, Springer Monographs in Mathematics, Topological Galois Theory, 2014, 195
Askold Khovanskii, Springer Monographs in Mathematics, Topological Galois Theory, 2014, 107
С. С. Марченков, “Интерполирование и суперпозиции многоместных непрерывных функций”, Матем. заметки, 93:4 (2013), 566–574 ; S. S. Marchenkov, “Interpolation and Superpositions of Multivariate Continuous Functions”, Math. Notes, 93:4 (2013), 571–577