An automated approach for selecting the learning rate and momentum in backpropagation networks

This paper describes how the backpropagation neural network (BP) can be modified to employ the conjugate gradient method (CG) for speeding up the training process. The application of the conjugate gradient method in this paper was achieved by the appropriate selection of each of the learning rate and momentum in a regular backpropagation program. >