International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 2 - Number 4 |
Year of Publication: 2010 |
Authors: F. Paulin, Dr.A.Santhakumaran |
10.5120/656-923 |
F. Paulin, Dr.A.Santhakumaran . Article:Back Propagation Neural Network by Comparing Hidden Neurons: Case study on Breast Cancer Diagnosis. International Journal of Computer Applications. 2, 4 ( June 2010), 40-44. DOI=10.5120/656-923
This paper investigates the potential of applying the feed forward neural network architecture for the classification of breast cancer. Back-propagation algorithm is used for training multi-layer artificial neural network. Missing values are replaced with median method before the construction of the network. This paper presents the results of a comparison among ten different hidden neuron initialization methods. The classification results have indicated that the network gave the good diagnostic performance of 99.28%.