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Publication:2912678
zbMath1269.41003MaRDI QIDQ2912678
Publication date: 14 September 2012
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On the Hausdorff distance between the Heaviside step function and Verhulst logistic function ⋮ Approximation theorems for a family of multivariate neural network operators in Orlicz-type spaces ⋮ Approximation by max-product neural network operators of Kantorovich type ⋮ Max-product neural network and quasi-interpolation operators activated by sigmoidal functions ⋮ DENSITY RESULTS BY DEEP NEURAL NETWORK OPERATORS WITH INTEGER WEIGHTS ⋮ Multivariate neural network interpolation operators ⋮ Neural network interpolation operators activated by smooth ramp functions ⋮ Neural network operators: constructive interpolation of multivariate functions ⋮ Solving polynomial systems using a fast adaptive back propagation-type neural network algorithm ⋮ Approximation of discontinuous signals by sampling Kantorovich series ⋮ Voronovskaja type theorems and high-order convergence neural network operators with sigmoidal functions ⋮ Asymptotic expansions and Voronovskaja type theorems for the multivariate neural network operators ⋮ Saturation classes for MAX-product neural network operators activated by sigmoidal functions ⋮ Pointwise and uniform approximation by multivariate neural network operators of the max-product type ⋮ Quantitative estimates for neural network operators implied by the asymptotic behaviour of the sigmoidal activation functions ⋮ Approximation error for neural network operators by an averaged modulus of smoothness ⋮ Approximation results for neural network operators activated by sigmoidal functions ⋮ Multivariate neural network operators with sigmoidal activation functions ⋮ Solutions of integral equations by reproducing kernel Hilbert space method ⋮ Approximation results in Orlicz spaces for sequences of Kantorovich MAX-product neural network operators ⋮ Interpolation by neural network operators activated by ramp functions ⋮ Convergence of a family of neural network operators of the Kantorovich type ⋮ Approximation by exponential sampling type neural network operators ⋮ Rates of approximation by neural network interpolation operators ⋮ Approximate solutions of Volterra integral equations by an interpolation method based on ramp functions
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