Fractional Voronovskaya type asymptotic expansions for quasi-interpolation neural network operators
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George A. Anastassiou
ganastss@memphis.edu
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DOI:
https://doi.org/10.4067/S0719-06462012000300005Abstract
Here we study further the quasi-interpolation of sigmoidal and hyperbolic tangent types neural network operators of one hidden layer. Based on fractional calculus theory we derive fractional Voronovskaya type asymptotic expansions for the error of approximation of these operators to the unit operator.
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Published
2012-10-01
How to Cite
[1]
G. A. Anastassiou, “Fractional Voronovskaya type asymptotic expansions for quasi-interpolation neural network operators”, CUBO, vol. 14, no. 3, pp. 71–83, Oct. 2012.
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