Optimal dead-zone characteristic for minimizing the a-posterior error in basis function networks

The incorporation of dead-zones in the error signal of basis function networks avoids the networks' over-training and guarantees the convergence of the normalized LMS-algorithm and related algorithms. A new so-called error-minimizing dead-zone is presented providing the least a-posteriori error out of the set of all convergence assuring dead-zones.