David Seidl

A Least-Squares Derivation of Output Error Feedback for Direct State Estimate Correction in Recurrent Neural Networks

2021

Iterative least-mean square learning algorithms for recurrent neural networks, such as dynamic backpropagation, have been derived to adapt network weights, but do not directly correct the state estimate. The network estimate of the unknown system’s …