Voronovskaja Type Theorems and High-Order Convergence Neural Network Operators with Sigmoidal Functions

In the present paper, asymptotic expansion and Voronovskaja type theorem for the neural network operators have been proved. The above results are based on the computation of the algebraic truncated moments of the density functions generated by suitable sigmoidal functions, such as the logistic funct...

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Veröffentlicht in:	Mediterranean journal of mathematics 2020-06, Vol.17 (3), Article 77
Hauptverfasser:	Costarelli, Danilo, Vinti, Gianluca
Format:	Artikel
Sprache:	eng
Schlagworte:	Asymptotic series Convergence Goats Mathematics Mathematics and Statistics Neural networks Operators Spline functions Theorems
Online-Zugang:	Volltext
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