Research the conditions of convergence of back-propagation learning algorithm

摘要

In this work properties of various parameters of sigma-function mathematically are described, because of which the influence of these parameters on the speed of convergence of the back-propagation learning algorithm for feedforward neurla networks is shown. Because of it, installing optimum conditions and entering some restrictions on parameters the new modified algorithm is received which converges to the necessary solution much faster.