Voronovskaya type asymptotic expansions for multivariate quasi-interpolation neural network operators
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George Anastassiou
ganastss@memphis.edu
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DOI:
https://doi.org/10.4067/S0719-06462014000200002Abstract
Here we study further the multivariate quasi-interpolation of sigmoidal and hyperbolic tangent types neural network operators of one hidden layer. We derive multivariate Voronovskaya type asymptotic expansions for the error of approximation of these operators to the unit operator.
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Published
2014-06-01
How to Cite
[1]
G. Anastassiou, “Voronovskaya type asymptotic expansions for multivariate quasi-interpolation neural network operators”, CUBO, vol. 16, no. 2, pp. 33–47, Jun. 2014.
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