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Fractional Approximation by Normalized Bell and Squashing Type Neural Networks

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Intelligent Systems II: Complete Approximation by Neural Network Operators

Part of the book series: Studies in Computational Intelligence ((SCI,volume 608))

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Abstract

This chapter deals with the determination of the fractional rate of convergence to the unit of some neural network operators, namely, the normalized bell and “squashing” type operators.

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References

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Authors and Affiliations

  1. Department of Mathematical Sciences, University of Memphis, Memphis, TN, USA

    George A. Anastassiou

Authors
  1. George A. Anastassiou
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Correspondence to George A. Anastassiou .

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Anastassiou, G.A. (2016). Fractional Approximation by Normalized Bell and Squashing Type Neural Networks. In: Intelligent Systems II: Complete Approximation by Neural Network Operators. Studies in Computational Intelligence, vol 608. Springer, Cham. https://doi.org/10.1007/978-3-319-20505-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-20505-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20504-5

  • Online ISBN: 978-3-319-20505-2

  • eBook Packages: EngineeringEngineering (R0)

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