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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

We have designed an automated process comprised of three basic components: coarse feature reduction and classification, and ∕ or fine feature measurement and selection, and then classification. Specifically, these three steps are: (1) coarse feature reduction using a combination of variance pruning and the Student's t test, where the resulting features are classified by a combination of logistics regression, the Wald test in combination with standard statistical testing using p values as a guide, (2) fine feature selection using the reduced feature set as input to a wrapper method consisting of a modified GA process, configured for this specific application,...

Abstract
Introduction
Methods
Overview of Logistics Regression, Odds Ratio and ROC Curves
Preliminary Results
Conclusions
Acknowledgements
References
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