Univariant approximation by superpositions of a sigmoidal function

DOI10.1006/JMAA.1993.1302zbMath0783.41016OpenAlexW2069893826MaRDI QIDQ1310860

Yuan Xu, Bo Gao

Publication date: 13 January 1994

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jmaa.1993.1302

Mathematics Subject Classification ID

Approximation by other special function classes (41A30)

Related Items (12)

An analog of the Jackson-Nikol'skij theorem on the approximation by superpositions of sigmoidal functions ⋮ Solving numerically nonlinear systems of balance laws by multivariate sigmoidal functions approximation ⋮ Neural network interpolation operators activated by smooth ramp functions ⋮ Solving Volterra integral equations of the second kind by sigmoidal functions approximation ⋮ The construction and approximation of feedforward neural network with hyperbolic tangent function ⋮ Approximation results for neural network operators activated by sigmoidal functions ⋮ Multivariate neural network operators with sigmoidal activation functions ⋮ A collocation method for solving nonlinear Volterra integro-differential equations of neutral type by sigmoidal functions ⋮ Interpolation by neural network operators activated by ramp functions ⋮ Approximation by series of sigmoidal functions with applications to neural networks ⋮ Approximation of functions of finite variation by superpositions of a sigmoidal function. ⋮ Approximation by superpositions of a sigmoidal function

This page was built for publication: Univariant approximation by superpositions of a sigmoidal function