Volume : 2, Issue : 1, January - 2013

A review on back propagation algorithms for Feedforward Networks

Shital Solanki, H. B. Jethva

Abstract :

The Back–propagation Neural Network (BPNN) Algorithm is widely used in solving many real time problems in world. It is highly suitable for the problems which involve large amount of data and there is no relationships found between the outputs and inputs. However BPNN possesses a problem of slow convergence and convergence to the local optimum. Over the years, many improvements and modifications of the BP learning algorithm have been reported to overcome these shortcomings. In this paper, the back propagation algorithm and several variations to improve the performance of the algorithm has been thoroughly reviewed.