89 citations to 10.1016/j.neunet.2017.12.007 (Crossref Cited-By Service)
  1. 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
  2. Arnulf Jentzen, Timo Welti, “Overall error analysis for the training of deep neural networks via stochastic gradient descent with random initialisation”, Applied Mathematics and Computation, 455, 2023, 127907  crossref
  3. Young-Jin Kim, “Optimal Price Based Demand Response of HVAC Systems in Multizone Office Buildings Considering Thermal Preferences of Individual Occupants Buildings”, IEEE Trans. Ind. Inf., 14, № 11, 2018, 5060  crossref
  4. Yanbin Zhang, Mathias Thor, Nat Dilokthanakul, Zhendong Dai, Poramate Manoonpong, “Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot”, Neural Networks, 167, 2023, 292  crossref
  5. Jing Nan, Wei Dai, Haijun Zhang, “Geometric constructive network with block increments for lightweight data-driven industrial process modeling”, Journal of Process Control, 134, 2024, 103159  crossref
  6. 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
  7. Vugar E. Ismailov, “Approximation error of single hidden layer neural networks with fixed weights”, Information Processing Letters, 185, 2024, 106467  crossref
  8. Hans-Peter Beise, Steve Dias Da Cruz, Udo Schröder, “On decision regions of narrow deep neural networks”, Neural Networks, 140, 2021, 121  crossref
  9. Mita Nurhayati, Youngmin You, Jongkwan Park, Byung Joon Lee, Ho Geun Kang, Sungyun Lee, “Artificial neural network implementation for dissolved organic carbon quantification using fluorescence intensity as a predictor in wastewater treatment plants”, Chemosphere, 335, 2023, 139032  crossref
  10. Jian Zheng, Jianfeng Wang, Yanping Chen, Shuping Chen, Jingjin Chen, Wenlong Zhong, Wenling Wu, “Neural networks trained with high-dimensional functions approximation data in high-dimensional space”, IFS, 41, № 2, 2021, 3739  crossref
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