46 citations to 10.1016/j.neucom.2018.07.075 (Crossref Cited-By Service)
  1. Semsettin Numan Sozen, Murat Gokce, Cagatay Yavuzyilmaz, Farid Gulmammadov, Halil Ersin Soken, 2021 IEEE 8th International Workshop on Metrology for AeroSpace (MetroAeroSpace), 2021, 1  crossref
  2. Zuowei Shen, Haizhao Yang, Shijun Zhang, “Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth”, Neural Computation, 33, № 4, 2021, 1005  crossref
  3. Hengjie Chen, Dansheng Yu, Zhong Li, Yoshihiro Sawano, “The Construction and Approximation of ReLU Neural Network Operators”, Journal of Function Spaces, 2022, 2022, 1  crossref
  4. Liqun Wang, Zengtao Chen, Guolai Yang, “An interval uncertainty analysis method for structural response bounds using feedforward neural network differentiation”, Applied Mathematical Modelling, 82, 2020, 449  crossref
  5. В.А. Галкин, Т.В. Гавриленко, А.Д. Смородинов, “Some aspects of approximation and interpolation of functions artificial neural networks”, Вестник КРАУНЦ. Физико-математические науки, № 1, 2022, 54  crossref
  6. Guoshun Wang, Dansheng Yu, Lingmin Guan, “Neural network interpolation operators of multivariate functions”, Journal of Computational and Applied Mathematics, 431, 2023, 115266  crossref
  7. Yanhua Guo, Shuangquan Shao, Xudong Geng, Hao Li, Zhichao Wang, Nevzat Akkurt, “A data-driven evaluating method on the defrosting effect of the air source heat pump system in Beijing”, Applied Thermal Engineering, 235, 2023, 121377  crossref
  8. Vugar E. Ismailov, “Approximation error of single hidden layer neural networks with fixed weights”, Information Processing Letters, 185, 2024, 106467  crossref
  9. Tujitan Chakraborty, “Strong Universal Consistency and Rate of Convergence of Fast Trained Deep Feedforward Networks”, SSRN Journal, 2019  crossref
  10. Vladimir Krutikov, Svetlana Gutova, Elena Tovbis, Lev Kazakovtsev, Eugene Semenkin, “Relaxation Subgradient Algorithms with Machine Learning Procedures”, Mathematics, 10, № 21, 2022, 3959  crossref
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