| 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%.