Data processing: artificial intelligence – Knowledge processing system
Reexamination Certificate
2007-10-03
2010-11-30
Holmes, Michael B. (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
C706S062000
Reexamination Certificate
active
07844558
ABSTRACT:
A method for identifying a potential fault in a system includes obtaining a set of training data. A first kernel is selected from a library of two or more kernels and the first kernel is added to a regression network. A next kernel is selected from the library of two or more kernels and the next kernel is added to the regression network. The regression network is refined. A potential fault is identified in the system using the refined regression network.
REFERENCES:
patent: 6157921 (2000-12-01), Barnhill
Kristin P. Bennett, Michinari Momma, and Mark J. Embrechts, “MARK: A Boosting Algorithm for Heterogeneous Kernel Models”, SIGKDD '02, Edmonton, Alberta, Canada 2002, pp. 24-31.
Andrei V. Gribok, J. Wesley Hines, Robert E. Ehrig, “Use of Kernel Based Techniques for Sensor Validation in Nuclear Power Plants”, Int'l Topical Meeting on Nuclear Plant Instrumentation, Controls, and Human-Machine interface Technologies, Washington, DC, Nov. 2002, pp. 1-15.
Aleksander Kolcz and Nigel M. Allinson, “N-tuple Regression Network”, Neural Networks, vol. 9, No. 5, pp. 855-869, 1996.
Neubauer Claus
Yuan Chao
Gonzales Vincent M
Holmes Michael B.
Siemens Corporation
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