Fractional neural network approximation

Here, we study the univariate fractional quantitative approximation of real valued functions on a compact interval by quasi-interpolation sigmoidal and hyperbolic tangent neural network operators. These approximations are derived by establishing Jackson type inequalities involving the moduli of cont...

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Published inComputers & mathematics with applications (1987) Vol. 64; no. 6; pp. 1655 - 1676
Main Author Anastassiou, George A.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.09.2012
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Abstract Here, we study the univariate fractional quantitative approximation of real valued functions on a compact interval by quasi-interpolation sigmoidal and hyperbolic tangent neural network operators. These approximations are derived by establishing Jackson type inequalities involving the moduli of continuity of the right and left Caputo fractional derivatives of the engaged function. The approximations are pointwise and with respect to the uniform norm. The related feed-forward neural networks are with one hidden layer. Our fractional approximation results into higher order converges better than the ordinary ones.
AbstractList Here, we study the univariate fractional quantitative approximation of real valued functions on a compact interval by quasi-interpolation sigmoidal and hyperbolic tangent neural network operators. These approximations are derived by establishing Jackson type inequalities involving the moduli of continuity of the right and left Caputo fractional derivatives of the engaged function. The approximations are pointwise and with respect to the uniform norm. The related feed-forward neural networks are with one hidden layer. Our fractional approximation results into higher order converges better than the ordinary ones.
Author Anastassiou, George A.
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  givenname: George A.
  surname: Anastassiou
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  organization: Department of Mathematical Sciences, University of Memphis, Memphis, TN 38152, USA
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Issue 6
Keywords Sigmoidal and hyperbolic tangent functions
Neural network fractional approximation
Modulus of continuity
Quasi-interpolation operator
Fractional derivative
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Snippet Here, we study the univariate fractional quantitative approximation of real valued functions on a compact interval by quasi-interpolation sigmoidal and...
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StartPage 1655
SubjectTerms Approximation
Fractional derivative
Modulus of continuity
Neural network fractional approximation
Quasi-interpolation operator
Sigmoidal and hyperbolic tangent functions
Title Fractional neural network approximation
URI https://dx.doi.org/10.1016/j.camwa.2012.01.019
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