Data processing: artificial intelligence – Neural network – Structure
Reexamination Certificate
2007-10-09
2007-10-09
Vincent, David (Department: 2129)
Data processing: artificial intelligence
Neural network
Structure
C706S022000, C706S021000, C709S224000, C702S182000, C702S186000
Reexamination Certificate
active
10324641
ABSTRACT:
A monitoring system including a baseline model that automatically captures and models normal system behavior, a correlation model that employs multivariate autoregression analysis to detect abnormal system behavior, and an alarm service that weights and scores a variety of alerts to determine an alarm status and implement appropriate response actions. The baseline model decomposes the input variables into a number of components representing relatively predictable behaviors so that the erratic component e(t) may be isolated for further processing. These components include a global trend component, a cyclical component, and a seasonal component. Modeling and continually updating these components separately permits a more accurate identification of the erratic component of the input variable, which typically reflects abnormal patterns when they occur.
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Helsper David
Homoki David
Huard Jean-Francois
Jannarone Robert
Rasmussen Amanda
Mehrman Michael J.
Mehrman Law Office PC
Netuitive, Inc.
Tran Mai T.
Vincent David
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