Multilayer feedforward networks are universal approximators
Neural Networks
Fundamentality of ridge functions
Journal of Approximation Theory
Uniform approximation by neural networks
Journal of Approximation Theory
Regular Article: Identifying Linear Combinations of Ridge Functions
Advances in Applied Mathematics
On best approximation by ridge functions
Journal of Approximation Theory
Error bounds for approximation with neural networks
Journal of Approximation Theory
Characterization of an extremal sum of ridge functions
Journal of Computational and Applied Mathematics
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We study the approximation of a continuous function feld over a compact set T by a continuous field of ridge approximants over T, named ridge function fields. We first give general density results about function fields and show how they apply to ridge function fields. We next discuss the parameterization of sets of ridge function fields and give additional density results for a class of continuous ridge function fields that admits a weak parameterization. Finally, we discuss the construction of the elements in that class.