Data processing: artificial intelligence – Neural network – Learning method
Reexamination Certificate
2006-10-24
2006-10-24
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Neural network
Learning method
C706S017000, C706S023000
Reexamination Certificate
active
07127439
ABSTRACT:
This invention specifies analyzers to be run in conjunction with computer estimation systems, which may be applied to performance monitoring (APM) services. A semi-automated analyzer may be used by a human analyst to periodically evaluate available historical data for establishing a desired set of input measurements, model parameters, and reporting criteria, collectively called configuration parameters, to be used by an estimation system. In addition, a fully automated analyzer may periodically and automatically reevaluate such configuration parameters and automatically reconfigure the estimation system accordingly. For both types of analyzer, the active set of input measurements for the computerized estimation system can be initially established or periodically updated to perform any variety of configuration tuning operations, including the following: removing linearly redundant variables; removing inputs showing no variation; removing unnecessary or non-estimable inputs; tuning estimation system operating parameters that govern learning rates and the use of recent trends; occasional model accuracy assessment; and tuning monitoring alarm thresholds.
REFERENCES:
patent: 5239594 (1993-08-01), Yoda
patent: 5444819 (1995-08-01), Michiro
patent: 5461699 (1995-10-01), Arbabi
patent: 5727128 (1998-03-01), Morrison
patent: 5748508 (1998-05-01), Baleanu
patent: 5748851 (1998-05-01), Iokibe
patent: 5953707 (1999-09-01), Huang
patent: 6208953 (2001-03-01), Milek et al.
patent: 6647377 (2003-11-01), Jannarone
patent: 2001/0034637 (2001-10-01), Lin et al.
patent: 2003/0036890 (2003-02-01), Billet
patent: 2003/0139905 (2003-07-01), Helsper
patent: 89118487.1 (1989-10-01), None
patent: 92114059.6 (1992-08-01), None
patent: WO 98/22885 (1998-05-01), None
Woodward, 5009 Fault-tolerant control, 1997.
LeBaron, Blake; Arthur, W. Brian, and Palmer, Richard. “Time series properties of an artificial stock market.” Journal of Economic Dynamics & Control, Nov. 20, 1998.
You, Chun, and Chandra, Kavitha. “Time series models for Internet Data Traffic.” Local Computer Networks, 1999, pp. 164-171.
Homoki David
Jannarone Robert
Rasmussen Amanda
Brown, Jr. Nathan H.
Knight Anthony
Mehrman Michael J.
Mehrman Law Office P.C.
Netuitive, Inc.
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