Multilayer feedforward networks are universal approximators

DOI10.1016/0893-6080(89)90020-8zbMath1383.92015OpenAlexW2137983211WikidataQ56020518 ScholiaQ56020518MaRDI QIDQ1708845

Kurt Hornik, Halbert White, Maxwell B. Stinchcombe

Publication date: 27 March 2018

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0893-6080(89)90020-8

zbMATH Keywords

universal approximationStone-Weierstrass theoremfeedforward networksmapping networksback-propagation networksnetwork representation capabilitysigma-pi networkssquashing functions

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Interpolation in approximation theory (41A05)

Cites Work

• Multilayer feedforward networks are universal approximators
• Approximation by superpositions of a sigmoidal function
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