Customization of adaptive filters is carried out with help of defined algorithms, on which the adaptation time and complexity of a setting system depends, therefore development of high-performance algorithms is the important theoretical and practical problem. In the report the filter training algorithm is considered on the basis of a minimum discrepancies method. The lower bound of a functional of minimizing is reduced, an exact estimation of algorithm rate of convergence is obtained.