Neural Network Classifier with Entropy Based Feature Selection on Breast Cancer Diagnosis

@article{Huang2009NeuralNC,
  title={Neural Network Classifier with Entropy Based Feature Selection on Breast Cancer Diagnosis},
  author={Mei-Ling Huang and Yung-Hsiang Hung and W. Chen},
  journal={Journal of Medical Systems},
  year={2009},
  volume={34},
  pages={865-873}
}
  • Mei-Ling Huang, Yung-Hsiang Hung, W. Chen
  • Published 2009
  • Computer Science, Medicine
  • Journal of Medical Systems
  • The aim of this research is to combine the feature selection (FS) and optimization algorithms as the optimal tool to improve the learning performance like predictive accuracy of the Wisconsin Breast Cancer Dataset classification. An ensemble of the reduced data patterns based on FS was used to train a neural network (NN) using the Levenberg–Marquardt (LM) and the Particle Swarm Optimization (PSO) algorithms to devise the appropriate NN training weighting parameters, and then construct an… CONTINUE READING
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