Synthesis of the Backpropagation Error Algorithm for a Multilayer Neural Network with Nonlinear Synaptic Inputs

Abstract

The application of the backpropagation error algorithm for learning a two-layer neural network using neurons with nonlinear inputs is considered. The proposed algorithm is used to solve the XOR problem. The results of modeling are presented.