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Found 3 papers, 1 papers with code
Efficient uniform approximation using Random Vector Functional Link networks
To the best of our knowledge, our result is the first of this kind.
On audio enhancement via online non-negative matrix factorization
We propose a method for noise reduction, the task of producing a clean audio signal from a recording corrupted by additive noise.
Random Vector Functional Link Networks for Function Approximation on Manifolds
We provide a (corrected) rigorous proof that the Igelnik and Pao construction is a universal approximator for continuous functions on compact domains, with approximation error decaying asymptotically like $O(1/\sqrt{n})$ for the number $n$ of network nodes.
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