Approximation of functions on a compact set by finite sums of a sigmoid function without scaling

Original Contribution: Approximation of continuous functions on Rd by linear combinations of shifted rotations of a sigmoid function with and without scaling

Neural Networks

Intelligent locomotion control on sloping surfaces

Information Sciences—Informatics and Computer Science: An International Journal

A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Activation functions defined on higher-dimensional spaces for approximation on compact sets with and without scaling

Neural Computation

Book review: Competitively Inhibited Neural Networks for Adaptive Parameter Estimation by Michael Lemmon (Kluwer Academic Publishers, 1991)

ACM SIGART Bulletin

Simultaneous Lp-approximation order for neural networks

Neural Networks

Approximation capability of layered neural networks with sigmoid units on two layers

Neural Computation

The essential order of approximation for Suzuki's neural networks

Neurocomputing

Universal Approximation and QoS Violation Application of Extreme Learning Machine

Neural Processing Letters

Simultaneous approximations of polynomials and derivatives and their applications to neural networks

Neural Computation

Convergence analysis of convex incremental neural networks

Annals of Mathematics and Artificial Intelligence

Systemical convergence rate analysis of convex incremental feedforward neural networks

Neurocomputing

GPS orbit approximation using radial basis function networks

Computers & Geosciences

Some new results on neural network approximation

Neural Networks

New study on neural networks: the essential order of approximation

Neural Networks

Effects of using different neural network structures and cost functions in locomotion control

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I

The essential approximation order for neural networks with trigonometric hidden layer units

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

The numerical solution of linear ordinary differential equations by feedforward neural networks

Mathematical and Computer Modelling: An International Journal

Solution of nonlinear ordinary differential equations by feedforward neural networks

Mathematical and Computer Modelling: An International Journal