An Evolutionary Artificial Neural Network Approach for Breast Cancer Diagnosis

Authors:
Lijuan Liu;Mingrong Deng
Affiliations:
-;-
Venue:
WKDD '10 Proceedings of the 2010 Third International Conference on Knowledge Discovery and Data Mining
Year:
2010

Citing 0
Cited 2

Breast cancer diagnosis using WNN based on GA

LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
A fast and adaptive automated disease diagnosis method with an innovative neural network model

Neural Networks

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Abstract

In this study, diagnosis of breast cancer, the second type of the most widespread cancer in women, was performed with an evolutionary artificial neural network approach based on adaptive genetic algorithm with strong macro-search capability and global optimization, which was used to optimize initial weights and thresholds of the network. Experimental results had better precision and much lower computational cost compared to the literature related to this concept in the Wisions breast cancer data set.