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…