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Intelligent Engineering Systems through Artificial Neural Networks

Editor
Cihan H. Dagli
Cihan H. Dagli
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K. Mark Bryden
K. Mark Bryden
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Steven M. Corns
Steven M. Corns
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Mitsuo Gen
Mitsuo Gen
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Kagan Tumer
Kagan Tumer
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Gürsel Süer
Gürsel Süer
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ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009

For the ANNIE 2008 conference we developed and preliminarily tested an alternative approach to the popular ensemble mixture used for solving complex adaptive system (CAS) problems (ref. 1), which we have termed the oracle. This approach does not use heuristic or “ad-hoc” methods to combine the results of the separate component models, but uses a quantitative error measure for the model output combinations. We believe the system has the advantage of being simpler to use than a standard mixture-of-experts approach. In this paper we extend the previous work to accommodate multiple input vectors per sample. Our objective is to build a two-view intelligent complex adaptive decision mechanism (CADM) for use in either mammography screening or diagnostic situations.

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