Recursive single-layer nets for output error dynamic models
C.S. Berger · IEEE Transactions on Neural Networks · 1995
An algorithm for training recursive single-layer nets that has been shown to exhibit rapid convergence is presented. Convergence is not guaranteed, but a sufficient condition is given to justify the method. The method is demonstrated on a difficult modeling problem from bioengineering.