Dimension-independent bounds on the degree of approximation by neural networks
IBM Journal of Research and Development
Approximation of Myopic Systems Whose Inputs Need Not BeContinuous
Multidimensional Systems and Signal Processing
Separation Conditions, Myopic Maps, and Criteria for UniformApproximation of Input-Output Maps
Multidimensional Systems and Signal Processing
On best approximation of classes by radial functions
Journal of Approximation Theory
Zonal function network frames on the sphere
Neural Networks
Best approximation by linear combinations of characteristic functions of half-spaces
Journal of Approximation Theory
Constructive approximate interpolation by neural networks
Journal of Computational and Applied Mathematics
Simultaneous Lp-approximation order for neural networks
Neural Networks
Minimization of error functionals over perceptron networks
Neural Computation
Neural networks for optimal approximation of smooth and analytic functions
Neural Computation
Estimates of Approximation Rates by Gaussian Radial-Basis Functions
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Function Approximation by Neural Networks
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Complexity of Gaussian-radial-basis networks approximating smooth functions
Journal of Complexity
A novel fast Kolmogorov's spline complex network for pattern detection
WSEAS TRANSACTIONS on SYSTEMS
A novel fast Kolmogorov's spline complex network for pattern detection
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
The approximation operators with sigmoidal functions
Computers & Mathematics with Applications
Constructive approximate interpolation by neural networks
Journal of Computational and Applied Mathematics
Approximate interpolation by neural networks with the inverse multiquadric functions
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Quasi-interpolation for data fitting by the radial basis functions
GMP'08 Proceedings of the 5th international conference on Advances in geometric modeling and processing
Seasonality and neural networks: a new approach
International Journal of Metaheuristics
Constructive approximation to multivariate function by decay RBF neural network
IEEE Transactions on Neural Networks
The multidimensional function approximation based on constructive wavelet RBF neural network
Applied Soft Computing
Multivariate sigmoidal neural network approximation
Neural Networks
The errors of simultaneous approximation of multivariate functions by neural networks
Computers & Mathematics with Applications
Quasi-interpolation for surface reconstruction from scattered data with radial basis function
Computer Aided Geometric Design
Multi-level hermite variational interpolation and quasi-interpolation
The Visual Computer: International Journal of Computer Graphics
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Let @s: R - R be such that for some polynomial P, @sP is bounded. We consider the linear span of the functions {@s(@l . (x - t)): @l, t @e R^s}. We prove that unless @s is itself a polynomial, it is possible to uniformly approximate any continuous function on R^s arbitrarily well on every compact subset of R^s by functions in this span. Under more specific conditions on @s, we give algorithms to achieve this approximation and obtain Jackson-type theorems to estimate the degree of approximation.