Grid Computing based Back Propagation Network

Abstract

Back Propagation Network (BPN) is one of the widely used neural network. Despite of worldwide adoption it suffers from performance degradation if the number of training data set and attributes increase. In this paper, we propose a novel method to improve the performance of BPN using Grid Computing. Using grid a set of disparate resources connected through a middleware can be used for increasing the performance of BPN.