Vugar E. Ismailov, “On the approximation by neural networks with bounded number of neurons in hidden layers”, Journal of Mathematical Analysis and Applications, 417, № 2, 2014, 963
Namig J. Guliyev, Vugar E. Ismailov, “Approximation capability of two hidden layer feedforward neural networks with fixed weights”, Neurocomputing, 316, 2018, 262
R. A. Aliev, A. A. Asgarova, V. E. Ismailov, “On the representation by bivariate ridge functions”, Ukr. Mat. Zhurn., 73, № 5, 2021, 579
Namig J. Guliyev, Vugar E. Ismailov, “A Single Hidden Layer Feedforward Network with Only One Neuron in the Hidden Layer Can Approximate Any Univariate Function”, Neural Computation, 28, № 7, 2016, 1289
Yunyou Qian, Dansheng Yu, “Neural network interpolation operators activated by smooth ramp functions”, Anal. Appl., 20, № 04, 2022, 791
Saithip Limtrakul, Jeerayut Wetweerapong, “AN ENHANCED DIFFERENTIAL EVOLUTION ALGORITHM WITH ADAPTIVE WEIGHT BOUNDS FOR EFFICIENT TRAINING OF NEURAL NETWORKS”, IAPGOS, 13, № 1, 2023, 4
Tan Bui-Thanh, “A unified and constructive framework for the universality of neural networks”, IMA Journal of Applied Mathematics, 2023, hxad032
Vugar E. Ismailov, “Computing the Approximation Error for Neural Networks with Weights Varying on Fixed Directions”, Numerical Functional Analysis and Optimization, 40, № 12, 2019, 1395
Yunyou Qian, Dansheng Yu, “Rates of approximation by neural network interpolation operators”, Applied Mathematics and Computation, 418, 2022, 126781
Syukron Abu Ishaq Alfarozi, Kitsuchart Pasupa, Masanori Sugimoto, Kuntpong Woraratpanya, “Local Sigmoid Method: Non-Iterative Deterministic Learning Algorithm for Automatic Model Construction of Neural Network”, IEEE Access, 8, 2020, 20342