Appeal 2007-1088
Application 10/006,959
7. A method for compensating for variations in modeled parameters
of a test machine compared to a model development machine, including the
steps of:
delivering a neural network model from the model development
machine to the test machine;
determining a computed parameter on the test machine;
estimating the parameter on the test machine with the delivered neural
network;
comparing the computed parameter with the estimated parameter; and
updating at least one of an estimator and the neural network model on
the test machine in response to variations in the computed parameter and the
estimated parameter.
The following references are relied on by the Examiner:
Talbott US 6,411,908 B1 Jun. 25, 2002
(Filed August 2, 2000)
Jelley US 2002/0138240 A1 Sep. 26, 2002
(Effective Filing Date August 9, 2000)
Claims 1 through 5, 7, and 8 stand rejected under 35 U.S.C. § 102(e)
as being anticipated by Jelley. Claims 6 and 10 through 12 stand rejected
under 35 U.S.C. § 103. As evidence of obviousness, the Examiner relies
upon Jelley in view of Talbott. The Examiner has also set forth a separate
rejection of dependent claim 9 under 35 U.S.C. § 103, by relying upon Jelley
in view of Appellants’ assertions. These appear to be based upon the
statements at Specification page 7, paragraph [35] where it is stated that
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