On error formulas for approximation by sums of univariate functions. - Vugar E. Ismailov (Int. J. Math. Math. Sci., 2006)

On the representation by linear superpositions. - Vugar E. Ismailov (J. Approx. Theory, 2008)

Interpolation on lines by ridge functions. - Vugar E. Ismailov; Allan Pinkus (J. Approx. Theory, 2013)

On a smoothness problem in ridge function representation. - Rashid A. Aliev; Vugar E. Ismailov (Adv. Appl. Math., 2016)

A Single Hidden Layer Feedforward Network with Only One Neuron in the Hidden Layer Can Approximate Any Univariate Function. - Namig J. Guliyev; Vugar E. Ismailov (Neural Comput., 2016)

Approximation capability of two hidden layer feedforward neural networks with fixed weights. - Namig J. Guliyev; Vugar E. Ismailov (Neurocomputing, 2018)

On the approximation by single hidden layer feedforward neural networks with fixed weights. - Namig J. Guliyev; Vugar E. Ismailov (Neural Networks, 2018)

A note on continuous sums of ridge functions. - Rashid A. Aliev; Aysel A. Asgarova; Vugar E. Ismailov (J. Approx. Theory, 2019)

A three layer neural network can represent any discontinuous multivariate function. - Vugar E. Ismailov (CoRR, 2020)

A representation problem for smooth sums of ridge functions. - Rashid A. Aliev; Vugar E. Ismailov (J. Approx. Theory, 2020)

Measure theoretic results for approximation by neural networks with limited weights. - Vugar E. Ismailov; Ekrem Savas (CoRR, 2023)

On the Kolmogorov neural networks. - Aysu Ismayilova; Vugar E. Ismailov (Neural Networks, 2024)

Approximation error of single hidden layer neural networks with fixed weights. - Vugar E. Ismailov (Inf. Process. Lett., 2024)