scientific article; zbMATH DE number 495819
From MaRDI portal
Publication:4277561
zbMath0784.41011MaRDI QIDQ4277561
Publication date: 7 February 1994
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rate of convergence, degree of approximation (41A25) Approximation by other special function classes (41A30)
Related Items (33)
Approximation by network operators with logistic activation functions ⋮ Multivariate Jackson-type inequality for a new type neural network approximation ⋮ On local and global sigma-pi neural networks. A common link ⋮ Stein's identity, Fisher information, and projection pursuit: A triangulation ⋮ Uniform approximation rates and metric entropy of shallow neural networks ⋮ Solving numerically nonlinear systems of balance laws by multivariate sigmoidal functions approximation ⋮ Constructive Approximation of Continuous Interval-Valued Functions ⋮ A multi-hierarchical attention-based prediction method on time series with spatio-temporal context among variables ⋮ Solving Volterra integral equations of the second kind by sigmoidal functions approximation ⋮ Networks and closed balls ⋮ A note on the applications of one primary function in deep neural networks ⋮ The construction and approximation of some neural network operators ⋮ Jackson-type inequalities for spherical neural networks with doubling weights ⋮ Construction and approximation for a class of feedforward neural networks with sigmoidal function ⋮ On sharpness of error bounds for multivariate neural network approximation ⋮ Approximating smooth and sparse functions by deep neural networks: optimal approximation rates and saturation ⋮ Towards understanding theoretical advantages of complex-reaction networks ⋮ The construction and approximation of feedforward neural network with hyperbolic tangent function ⋮ Quasi-interpolation for surface reconstruction from scattered data with radial basis function ⋮ Unnamed Item ⋮ Approximation results for neural network operators activated by sigmoidal functions ⋮ Multivariate neural network operators with sigmoidal activation functions ⋮ A collocation method for solving nonlinear Volterra integro-differential equations of neutral type by sigmoidal functions ⋮ Approximation by series of sigmoidal functions with applications to neural networks ⋮ Approximation of functions of finite variation by superpositions of a sigmoidal function. ⋮ Unnamed Item ⋮ CONSTRUCTIVE APPROXIMATION BY NEURAL NETWORKS WITH POSITIVE INTEGER WEIGHTS ⋮ Mosaic flows: a transferable deep learning framework for solving PDEs on unseen domains ⋮ Deep neural networks for rotation-invariance approximation and learning ⋮ On sharpness of error bounds for univariate approximation by single hidden layer feedforward neural networks ⋮ Controlling oscillations in high-order discontinuous Galerkin schemes using artificial viscosity tuned by neural networks ⋮ The construction and approximation of ReLU neural network operators ⋮ Constructive approximate interpolation by neural networks
This page was built for publication:
