A hybrid breast cancer detection system via neural network and feature selection based on SBS, SFS and PCA-Reference-Cited by-同舟云学术

A hybrid breast cancer detection system via neural network and feature selection based on SBS, SFS and PCA

Published:2012-06-12 Issue:3-4 Volume:23 Page:719-728
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Uzer Mustafa Serter,Inan Onur,Yılmaz Nihat

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-012-0982-6.pdf

Reference34 articles.

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3. Chou SM, Lee TS, Shao YE, Chen IF (2004) Mining the breast cancer pattern using artificial neural networks and multivariate adaptive regression splines. Expert Syst Appl 27(1):133–142. doi: 10.1016/j.eswa.2003.12.013

4. Yeh WC, Chang WW, Chung YY (2009) A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method. Expert Syst Appl 36(4):8204–8211. doi: 10.1016/j.eswa.2008.10.004

5. Goodman DE, Boggess L, Watkins A (2002) Artificial immune system classification of multiple-class problems. In: Proceedings of the Artificial Neural Networks in Engineering ANNIE 02, pp 179–183

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