О построении быстро сходящихся методов негладкой оптимизации многослойного персептрона

Abstract

The paper proposes an approach to the construction of search methods with a high convergence rate to optimize the quality criterion of setting a multilayer perceptron. The considered problem is directly related to the building of artificial neural networks and the development of neural computers.