Appeal No. 97-0507
Application 08/202,609
Therefore, we are in agreement with the examiner’s
(unedited) position set forth at pages 5 and 6 of the answer that
we reproduce here:
Although Reilly and Cooper publication
does not explicitly disclose that their
neural network may be used for the purpose of
analyzing aeromagnetic data, using specific
data (here, aeromagnetic data) in data
processing or training of a neural network
does not amount to any structural or
functional limitation of the claimed neural
network. The preamble of claim 25 and the
elements (1), (2) and (3) as stated on page 4
of the Appeal Brief, only limit the type of
data used in the claimed neural network. The
specific data used in a neural network does
not impart structure or function beyond the
functional steps normally followed in back
propagation training of a neural network; the
steps are the same regardless of data. That
is, changing the nature of data does not
change the functionality of a neural network
in terms of steps of data processing, error
back propagation and learning. Nor does
changing the data changes the structure,
architecture, and interconnection of a neural
network data processing system. Therefore,
Reilly and Cooper publication discloses each
and every structural limitation of the neural
network as claimed.
This reasoning is also repeated by the examiner at pages 6 and 7
of the answer as to the McCormack patent.
The above positions of the examiner recognize that both
references relied on do not explicitly disclose that the
respective neural networks may be used for the purpose of
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