Banach Space Valued Neural Network

Ordinary and Fractional Approximation and Interpolation

AvGeorge A. Anastassiou

Inbunden, Engelska, 2022

Del i serien Studies in Computational Intelligence

1 643 kr

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1 643 kr

Beskrivning

These are induced by a great variety of activation functions deriving from the arctangent, algebraic, Gudermannian, and generalized symmetric sigmoid functions. The book’s results are expected to find applications in the many areas of applied mathematics, computer science and engineering, especially in artificial intelligence and machine learning.

Produktinformation

Utgivningsdatum:2022-10-02
Mått:155 x 235 x 30 mm
Vikt:822 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:423
Förlag:Springer International Publishing AG
ISBN:9783031163999

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

Algebraic function induced Banach space valued ordinary and fractional neural network approximations.- Gudermannian function induced Banach space valued ordinary and fractional neural network approximations.- Generalized symmetrical sigmoid function induced Banach space valued ordinary and fractional neural network approximations.- Abstract multivariate algebraic function induced neural network approximations.- General multivariate arctangent function induced neural network approximations.- Abstract multivariate Gudermannian function induced neural network approximations.- Generalized symmetrical sigmoid function induced neural network multivariate approximation.- Quantitative Approximation by Kantorovich-Choquet quasi-interpolation neural network operators revisited.- Quantitative Approximation by Kantorovich-Shilkret quasi-interpolation neural network operators revisited.- Voronsovkaya Univariate and Multivariate asymptotic expansions for sigmoid functions induced quasi-interpolationneural network operators revisited.- Univariate Fuzzy Fractional various sigmoid function activated neural network approximations revisited.- Multivariate Fuzzy Approximation by Neural Network Operators induced by several sigmoid functions revisited.- Multivariate Fuzzy-Random and stochastic various activation functions activated Neural Network Approximations.