Error signal generation method for efficient learning of multilayer perceptron neural network

摘要

To improve the performance of the backpropagation learning algorithm of the multilayer perceptron, a new error function is proposed.;The proposed error function shows that the error signal increases as the target value of the output layer differs from the output value, and the output node is inappropriately saturated in the learning process.;In addition, when the target value of the output layer is close to the output value, an error signal is generated small, thereby preventing the neural network from learning excessively on the learning pattern.