Function Approximation with Randomly Initialized Neural Networks for Approximate Model Reference Adaptive Control

Tyler Lekang, Andrew Lamperski

Classical results in neural network approximation theory show how arbitrary continuous functions can be approximated by networks with a single hidden layer, under mild assumptions…