9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Universal Approximation Theorem for Vector- and Hypercomplex-Valued Neural Networks
Marcos Eduardo Valle, Wington L. Vital, Guilherme Vieira
The universal approximation theorem states that a neural network with one hidden layer can approximate continuous functions on compact sets with any desired precision. This theorem…
cs.LG2022★ 9 cited
Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks
Wington L. Vital, Guilherme Vieira, Marcos Eduardo Valle
The universal approximation theorem asserts that a single hidden layer neural network approximates continuous functions with any desired precision on compact sets. As an existentia…