Research Article
Article:Back Propagation Neural Network by Comparing Hidden Neurons: Case study on Breast Cancer Diagnosis
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 2 - Issue 4 |
| Published: June 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
@article{ 10.5120/656-923,
author = { F. Paulin,Dr.A.Santhakumaran },
title = { Article:Back Propagation Neural Network by Comparing Hidden Neurons: Case study on Breast Cancer Diagnosis },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 2 },
number = { 4 },
pages = { 40-44 },
doi = { 10.5120/656-923 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A F. Paulin
%A Dr.A.Santhakumaran
%T Article:Back Propagation Neural Network by Comparing Hidden Neurons: Case study on Breast Cancer Diagnosis%T
%J International Journal of Computer Applications
%V 2
%N 4
%P 40-44
%R 10.5120/656-923
%I Foundation of Computer Science (FCS), NY, USA
Abstract
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%.
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