46 citations to 10.1016/j.neucom.2018.07.075 (Crossref Cited-By Service)
  1. Oğuz Üstün, Erdal Bekiroğlu, Mithat Önder, “Design of highly effective multilayer feedforward neural network by using genetic algorithm”, Expert Systems, 37, № 4, 2020, e12532  crossref
  2. Uğur Kadak, “Fractional type multivariate neural network operators”, Math Methods in App Sciences, 46, № 3, 2023, 3045  crossref
  3. Yunyou Qian, Dansheng Yu, “Rates of approximation by neural network interpolation operators”, Applied Mathematics and Computation, 418, 2022, 126781  crossref
  4. Min Qiu, Zhongli Ji, Limin Ma, “An energy‐efficiency evaluation method for high‐sulfur natural gas purification system using artificial neural networks and particle swarm optimization”, Intl J of Energy Research, 46, № 3, 2022, 3213  crossref
  5. Aysu Ismayilova, Vugar E. Ismailov, “On the Kolmogorov neural networks”, Neural Networks, 2024, 106333  crossref
  6. Philipp Grohs, Shokhrukh Ibragimov, Arnulf Jentzen, Sarah Koppensteiner, “Lower bounds for artificial neural network approximations: A proof that shallow neural networks fail to overcome the curse of dimensionality”, Journal of Complexity, 77, 2023, 101746  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. Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek, “Efficient Approximation of High-Dimensional Functions With Neural Networks”, IEEE Trans. Neural Netw. Learning Syst., 33, № 7, 2022, 3079  crossref
  9. Bamidele Victor Ayodele, May Ali Alsaffar, Siti Indati Mustapa, Adesoji Adesina, Ramesh Kanthasamy, Thongthai Witoon, Sureena Abdullah, “Process intensification of hydrogen production by catalytic steam methane reforming: Performance analysis of multilayer perceptron-artificial neural networks and nonlinear response surface techniques”, Process Safety and Environmental Protection, 156, 2021, 315  crossref
  10. Halil Ersin Soken, Semsettin Numan Sozen, Murat Gokce, Cagatay Yavuzyilmaz, Farid Gulmammadov, “Analog sun sensor measurement correction using deep neural network”, Acta Astronautica, 211, 2023, 808  crossref
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