Robust parametric estimation for nonlinear models using artificial neural networks

The paper describes an approach using artificial neural networks for solving problems of robust parametric estimation with unknown-but-bounded error (UBBE approach). A modified Hopfield network is used to calculate the parametric uncertainty intervals for the model parameters. Simulated examples are presented as an illustration of the proposed technique.