Prehistory — From Neural Networks to the TransformerKurt Hornik, Maxwell Stinchcombe, Halbert White
Multilayer feedforward networks are universal approximators
Multilayer feedforward networks are universal approximators — extended the universal approximation theorem to general conditions
Why it matters
Together with Cybenko, established the foundation for the approximation capability of multilayer feedforward neural networks
Source — Primary sources first; secondary reports are labelled “Press”
Pressen.wikipedia.orghttps://en.wikipedia.org/wiki/Universal_approximation_theoremAdded in Week 35, 2026 · See that week