Q-deformed and λ-parametrized A-generalized logistic function induced Banach space valued multivariate multi-layer neural network approximations [PDF]
Here we research the multivariate quantitative approximation of Banach space valued continuous multivariate functions on a box or RN, N ∈ N, by the multivariate normalized, quasi-interpolation, Kantorovich type and quadrature type neural network ...
ANASTASSIOU, George A.
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Approximation by Radial Basis Functions with Finitely Many Centers
, 1996 : Interpolation by translates of "radial" basis functions \Phi is optimal in the sense that it minimizes the pointwise error functional among all comparable quasi--interpolants on a certain "native" space of functions F \Phi .
Schaback, Robert, Robert Schaback
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On the degree of approximation by new Durrmeyer type operators 1
, 2010 In this paper, we define a new kind of positive linear operators and study basic properties as well as Voronovskaya type results. In the last section of this paper we establish the error estimation for simultaneous approximation in terms of higher order ...
Suresh P Singh, Naokant Deo
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Joint discrete universality for periodic zeta-functions
, 2019 In the paper, joint universality theorems for periodic zeta functions with multiplicative coefficients and periodic Hurwitz zeta-functions are proved. The main theorem of [11] is extended, and two new joint universality theorems on the approximation of a
Laurinčikas, Antanas
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Multiresolution analysis by infinitely differentiable compactly supported functions
, 1995 [he paper is concerned with the introduction and study of multiresolution analysis based on thie uip function, which is an infinitely differentiable function supported on [0,2]. Such analysis i,. necessarily, nonstationary.
N. Dyn, A. Ron
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Richards's curve induced Banach space valued multivariate neural network approximation. [PDF]
Arab J Math, 2023 Anastassiou GA, Karateke S.
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Richards's curve induced Banach space valued ordinary and fractional neural network approximation. [PDF]
Rev R Acad Cienc Exactas Fis Nat A Mat, 2023 Anastassiou GA, Karateke S.
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Interpolating Refinable Functions And Wavelets For General Scaling Matrices
, 1997 This paper introduces a general procedure for constructing interpolating re- nable functions for arbitrary dilation matrices. The key ideas are based on the construction presented in [24].
Stephan Dahlke +3 more
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A Wavelet Toolbox for Large Scale Image Processing
, 1999 The wavelet transform has proven to be a valuable tool for image processing applications, like image compression and noise reduction. In this paper we present a scheme to process very large images that do not fit in the memory of a single computer, based
Geert Uytterhoeven +2 more
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Symmetric Orthonormal Scaling Functions and Wavelets with Dilation Factor d = 4
, 1997 It is well known that in the univariate case, up to an integer shift and possible sign change, there is no dyadic compactly supported symmetric orthonormal scaling function except for the Haar function.
Bin Han
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