89 citations to 10.1016/j.neunet.2017.12.007 (Crossref Cited-By Service)
  1. Juan J. Font, Sergio Macario, “Constructive Approximation of Continuous Interval-Valued Functions”, Numerical Functional Analysis and Optimization, 43, № 2, 2022, 127  crossref
  2. Felipe Arias del Campo, María Cristina Guevara Neri, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez, Humberto de Jesús Ochoa Domínguez, Vicente García Jiménez, “Auto-adaptive multilayer perceptron for univariate time series classification”, Expert Systems with Applications, 181, 2021, 115147  crossref
  3. 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
  4. Wenjing Li, Minghui Chu, “A pruning feedforward small-world neural network by dynamic sparse regularization with smoothing l1/2 norm for nonlinear system modeling”, Applied Soft Computing, 136, 2023, 110133  crossref
  5. Guoshun Wang, Dansheng Yu, Lingmin Guan, “Neural network interpolation operators of multivariate functions”, Journal of Computational and Applied Mathematics, 431, 2023, 115266  crossref
  6. Eduardo Paluzo-Hidalgo, Rocio Gonzalez-Diaz, Miguel A. Gutiérrez-Naranjo, “Trainable and explainable simplicial map neural networks”, Information Sciences, 667, 2024, 120474  crossref
  7. 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
  8. Hoang Nguyen, Xuan-Nam Bui, Quang-Hieu Tran, Hoa Anh Nguyen, Dinh-An Nguyen, Le Thi Thu Hoa, Qui-Thao Le, “Prediction of ground vibration intensity in mine blasting using the novel hybrid MARS–PSO–MLP model”, Engineering with Computers, 38, № S5, 2022, 4007  crossref
  9. R. A. Aliev, A. A. Asgarova, V. E. Ismailov, “On the Representation by Bivariate Ridge Functions”, Ukr Math J, 73, № 5, 2021, 675  crossref
  10. Kostadin Yotov, Emil Hadzhikolev, Stanka Hadzhikoleva, Stoyan Cheresharov, “Finding the Optimal Topology of an Approximating Neural Network”, Mathematics, 11, № 1, 2023, 217  crossref
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