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Higher Order Multivariate Fuzzy Approximation Using Basic Neural Network Operators

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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

Here are studied in terms of multivariate fuzzy high approximation to the multivariate unit basic sequences of multivariate fuzzy neural network operators.

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Authors and Affiliations

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

    George A. Anastassiou

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

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Anastassiou, G.A. (2016). Higher Order Multivariate Fuzzy Approximation Using Basic Neural Network Operators. 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_13

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  • DOI: https://doi.org/10.1007/978-3-319-20505-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20504-5

  • Online ISBN: 978-3-319-20505-2

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