Publisher
Springer International Publishing
Reference21 articles.
1. Ito, Y.: Finite mapping by neural networks and truth functions. Math. Sci. 17, 69–77 (1992)
2. Pinkus, A.: Approximation theory of the MLP model in neural networks. Acta Numer. 8, 143–195 (1999).
https://doi.org/10.1017/S0962492900002919
3. Bengio, Y., Delalleau, O., Roux, N.L.: The curse of highly variable functions for local kernel machines. In: Advances in Neural Information Processing Systems, vol. 18, pp. 107–114. MIT Press (2006)
4. Kůrková, V.: Constructive lower bounds on model complexity of shallow perceptron networks. Neural Comput. Appl. 29, 305– 315 (2018).
https://doi.org/10.1007/s00521-017-2965-0
5. Kůrková, V.: Limitations of shallow networks representing finite mappings. Neural Comput. Appl. (2018).
https://doi.org/10.1007/s00521-018-3680-1