The authors present a class of stopping rules for Landweber-type iterations for solving linear inverse problems, which includes both the discrepancy principle and the monotone error rule. They introduce an error analysis parameter and a training procedure for securing a robust stopping rule. Numerical experiments are presented for image reconstruction problems.