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Intelligent Engineering Systems through Artificial Neural Networks Volume 18

Editor
Cihan H. Dagli
Cihan H. Dagli
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ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

The objective of this work is to implement a new hybrid feature selection system comprised of a genetic algorithm (GA) and a support vector machine program termed SVMperf. We have used this system to perform feature reduction of a colorectal cancer microarray dataset generated by the Moffitt Cancer Center. Using variance pruning as a coarse feature selection process with the GA-SVMperf wrapper, the method provided an Az (performance measure) value of .97 with only 7 features after 30 generations. Using a combination of variance pruning, t-tests and the GA-SVMperf wrapper, the method provided an A...

Abstract
Introduction
Methods
Data Set Description
Results
Discussion
Conclusions
Acknowledgments
References
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