Performance Evaluation of Back propagation Algorithm by change in learning rate and momentum value – A Machine learning Approach

Abstract

Machine learning algorithms are used in data mining for prediction analysis .Classifier that uses a Back propagation to learn a multilayer perceptron to classify instances. In this method we are using Multilayer Perceptron model for Back propagation algorithm by using learning rate and momentum factor. Overall efficiency of the system of a given Dataset can be increased by adopting learning rate and Momentum.