Appeal No. 2001-1186
Application No. 08/819,609
claim 16 are disclosed with the exception of the specific
disclosure of the use of neural network principles in the
algorithm development. In making this determination, it is our
opinion that the disclosure at column 6, lines 55-65 of G. I.
Cohn, which describes the algorithm development based on
measurement values of pitch and roll taken at values from maximum
positive to maximum negative, clearly suggests measurements taken
over the claimed driving conditions from rest (i.e., zero pitch
and roll) to various motion driving states.
We further find no persuasive arguments from Appellants that
would convince us of any error in the Examiner’s line of
reasoning (Answer, page 6) that the skilled artisan would
recognize and appreciate that the neural network technique
disclosed by Breed has obvious application to the development of
the “training” functional relationship described by G. I. Cohn.
In particular, we find to be without merit Appellants’ contention
(Brief, page 16) that Breed does not disclose an algorithm based
on measurements related to different fill states of fuel in a
tank under different conditions. The Breed reference was used by
the Examiner in combination with other prior art to establish the
basis for the obviousness rejection. As previously discussed,
the measurement features asserted by Appellants to be lacking in
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