80 citations to 10.1016/j.jmaa.2014.03.092 (Crossref Cited-By Service)
  1. H. Torres-Ruvalcaba, J.D. Sánchez-Torres, L.E. González-Jiménez, A.J. Muñoz-Vázquez, “Discrete-time radial basis function network for equivalent control estimation”, IFAC-PapersOnLine, 54, № 14, 2021, 303  crossref
  2. Marco Cantarini, Danilo Costarelli, Gianluca Vinti, “Asymptotic Expansion for Neural Network Operators of the Kantorovich Type and High Order of Approximation”, Mediterr. J. Math., 18, № 2, 2021, 66  crossref
  3. P. Gil, F. Santos, L. Palma, A. Cardoso, “Recursive subspace system identification for parametric fault detection in nonlinear systems”, Applied Soft Computing, 37, 2015, 444  crossref
  4. Zarita Zainuddin, Saeed Panahian Fard, “The Universal Approximation Capabilities of Cylindrical Approximate Identity Neural Networks”, Arab J Sci Eng, 41, № 8, 2016, 3027  crossref
  5. Benali Aharrouch, “Approximation results by multivariate Kantorovich-type neural network sampling operators in Lebesgue spaces with variable exponents”, Rend. Circ. Mat. Palermo, II. Ser, 2024  crossref
  6. Ludovic Bellier, Anaïs Llorens, Déborah Marciano, Aysegul Gunduz, Gerwin Schalk, Peter Brunner, Robert T. Knight, David Poeppel, “Music can be reconstructed from human auditory cortex activity using nonlinear decoding models”, PLoS Biol, 21, № 8, 2023, e3002176  crossref
  7. Chu Zhang, Haowen Hu, Jie Ji, Kang Liu, Xin Xia, Muhammad Shahzad Nazir, Tian Peng, “An evolutionary stacked generalization model based on deep learning and improved grasshopper optimization algorithm for predicting the remaining useful life of PEMFC”, Applied Energy, 330, 2023, 120333  crossref
  8. Saeed Panahian Fard, Zarita Zainuddin, “Almost everywhere approximation capabilities of double Mellin approximate identity neural networks”, Soft Comput, 20, № 11, 2016, 4439  crossref
  9. Rafael de O. Valle dos Santos, Marley M.B.R. Vellasco, “Neural Expert Weighting: A NEW framework for dynamic forecast combination”, Expert Systems with Applications, 42, № 22, 2015, 8625  crossref
  10. Adrian Gambier, Anshu Behera, “Modelling the aerodynamic coefficients of wind turbines by using neural networks for control design purposes”, J. Phys.: Conf. Ser., 1037, 2018, 032032  crossref
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