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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks
ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009
eBook Chapter
72 A Model for HGA Manufacturing Yield Prediction Using Adapted Stochastic Neural Networks
By
Prasitchai Boonserm
Computer Engineering Department King Mongkut's University of Technology Thonburi Tungkru, Bangkok , Thailand ; prasitchai.boon@yahoo.com
,
Prasitchai Boonserm
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Jumpol Polvichai
Computer Engineering Department King Mongkut's University of Technology Thonburi Tungkru, Bangkok , Thailand ; jumpol@cpe.kmutt.ac.th
,
Jumpol Polvichai
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Tiranee Achalakul
Computer Engineering Department King Mongkut's University of Technology Thonburi Tungkru, Bangkok , Thailand ; tiranee@cpe.kmutt.ac.th
Tiranee Achalakul
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Page Count:
8
-
Published:2009
Citation
Boonserm, P, Polvichai, J, & Achalakul, T. "A Model for HGA Manufacturing Yield Prediction Using Adapted Stochastic Neural Networks." Intelligent Engineering Systems through Artificial Neural Networks. Ed. Dagli, CH, Bryden, KM, Corns, SM, Gen, M, Tumer, K, & Süer, G. ASME Press, 2009.
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Product types in the hard disk drive (HDD) industry have different specifications depending on the customer orders. These specifications along with the machine parameters have a direct impact on the production yield. The problems on the manufacturing line are called the “root cause”. By accurately identifying the root cause, the engineers can suggest yield improvement solutions. Thus, the overall framework for the automatic solution generation is needed by several HDD companies. Our research is a part of such a framework. In this paper, we focus on the prediction technique required at the end of the analysis steps in order to...
Abstract
Introduction
Related Research
The Yield Prediction Model
Experiments and Results
Conclusions and Future Work
Acknowledgements
References
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