Classification of Breast cancer by comparing Back propagation training algorithms
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
Breast cancer diagnosis has been approached by various machine learning techniques for many years. This paper presents a study on classification of Breast cancer using Feed Forward Artificial Neural Networks. Back propagation algorithm is used to train this network. The performance of the network is evaluated using Wisconsin breast cancer data set for various training algorithms. The highest accuracy of 99.28% is achieved when using levenberg marquardt algorithm.
Authors and Affiliations
F. Paulin , A. Santhakumaran
Keywords
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