Some density results by deep Kantorovich type neural network operators
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Publication:6146378
DOI10.1016/j.jmaa.2023.128009OpenAlexW4389405974MaRDI QIDQ6146378
Publication date: 5 February 2024
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmaa.2023.128009
Learning and adaptive systems in artificial intelligence (68T05) Linear operator approximation theory (47A58) Approximation by operators (in particular, by integral operators) (41A35)
Cites Work
- Unnamed Item
- Solving Volterra integral equations of the second kind by sigmoidal functions approximation
- Approximation results for neural network operators activated by sigmoidal functions
- Multivariate neural network operators with sigmoidal activation functions
- Intelligent systems. Approximation by artificial neural networks
- Univariate hyperbolic tangent neural network approximation
- Multivariate hyperbolic tangent neural network approximation
- Rate of convergence of some neural network operators to the unit-univariate case
- Saturation classes for MAX-product neural network operators activated by sigmoidal functions
- Multilayer feedforward networks are universal approximators
- Approximation results in Orlicz spaces for sequences of Kantorovich MAX-product neural network operators
- Approximation by exponential sampling type neural network operators
- Rates of approximation by neural network interpolation operators
- Multivariate neural network interpolation operators
- Modified neural network operators and their convergence properties with summability methods
- Convergence of a family of neural network operators of the Kantorovich type
- DENSITY RESULTS BY DEEP NEURAL NETWORK OPERATORS WITH INTEGER WEIGHTS
- Constructive Approximation by Superposition of Sigmoidal Functions
- Approximation by superpositions of a sigmoidal function
- Neural network interpolation operators of multivariate functions
- Fractional type multivariate neural network operators