Zitat
B. Lenze, “Hyperbolic sigma-pi neural network operators for compactly supported continuous functions,” Advances in Computational Mathematics, vol. 5, pp. 163–172, 1996, doi: 10.1007/bf02124741
Abstract
It is the aim of this contribution to continue our investigations on a special family of hyperbolic-type linear operators (here, for compactly supported continuous functions on IRn) which immediately can be interpreted as concrete real-time realizations of three-layer feedforward neural networks with sigma-pi units in the hidden layer. To indicate how these results are connected with density results we start with some introductory theorems on this topic. Moreover, we take a detailed look at the complexity of the generated neural networks in order to achieve global ε-accuracy.
Referenzen und Relationen
DOI 10.1007/bf02124741
ORCID-Source www.base-search.net/Record/73fb09104bc3839fa2b5a4b81e6ff67d415bb6a34e510b616bb26249baa76a14