Approximation-based Estimation of Learning Rate for Error Back Propagation Algorithm

The paper presents a new method for improvement of the Error Back Propagation, one of the most popular algorithms for training artificial neural networks, that is based on the estimation of the learning rate by the approximation of the error of the output error. Experimental studies confirming the effectiveness of the applied method of improving the network learning effectiveness have been presented.