Lower Bounds on the Complexity of Approximating Continuous Functions by Sigmoidal Neural Networks

Michael Schmitt. Lower Bounds on the Complexity of Approximating Continuous Functions by Sigmoidal Neural Networks. Electronic Colloquium on Computational Complexity (ECCC), 7(2), 2000. [doi]

@article{ECCC-TR00-002,
  title = {Lower Bounds on the Complexity of Approximating Continuous Functions by Sigmoidal Neural Networks},
  author = {Michael Schmitt},
  year = {2000},
  url = {http://eccc.hpi-web.de/eccc-reports/2000/TR00-002/index.html},
  researchr = {https://researchr.org/publication/ECCC-TR00-002},
  cites = {0},
  citedby = {0},
  journal = {Electronic Colloquium on Computational Complexity (ECCC)},
  volume = {7},
  number = {2},
}