80 citations to 10.1016/j.jmaa.2014.03.092 (Crossref Cited-By Service)
  1. Aysu Ismayilova, Vugar E. Ismailov, “On the Kolmogorov neural networks”, Neural Networks, 2024, 106333  crossref
  2. Danilo Costarelli, “Neural network operators: Constructive interpolation of multivariate functions”, Neural Networks, 67, 2015, 28  crossref
  3. Danilo Costarelli, Gianluca Vinti, “Approximation theorems for a family of multivariate neural network operators in Orlicz-type spaces”, Ricerche mat, 67, № 2, 2018, 387  crossref
  4. Li, Lu, Zheng, Yang, Li, “Groundwater Level Prediction for the Arid Oasis of Northwest China Based on the Artificial Bee Colony Algorithm and a Back-propagation Neural Network with Double Hidden Layers”, Water, 11, № 4, 2019, 860  crossref
  5. Shao-Bo Lin, “Limitations of shallow nets approximation”, Neural Networks, 94, 2017, 96  crossref
  6. Zheng Wang, Long-fei Zhang, Xiao-xing Feng, Meng-xi Liu, “Intelligent Human Body Posture Recognition and Its Comparative Study”, J. Phys.: Conf. Ser., 1894, № 1, 2021, 012053  crossref
  7. Vugar E. Ismailov, “A three layer neural network can represent any multivariate function”, Journal of Mathematical Analysis and Applications, 523, № 1, 2023, 127096  crossref
  8. Konstantinos Blekas, Isaac E. Lagaris, “Functionally weighted neural networks: frugal models with high accuracy”, SN Appl. Sci., 2, № 12, 2020, 1954  crossref
  9. Miriam Benedetti, Vittorio Cesarotti, Vito Introna, Jacopo Serranti, “Energy consumption control automation using Artificial Neural Networks and adaptive algorithms: Proposal of a new methodology and case study”, Applied Energy, 165, 2016, 60  crossref
  10. Danilo Costarelli, Gianluca Vinti, “Convergence results for a family of Kantorovich max-product neural network operators in a multivariate setting”, Mathematica Slovaca, 67, № 6, 2017, 1469  crossref
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