Appeal No. 1999-1587
Application 08/601,751
procedure, said neural network having been subjected to a
training procedure for setting said weighting coefficients
such that respective output data produced from said neural
network in response to sequentially supplied input data
substantially correspond to amounts of difference
between actual output data which are produced from said
conventional filter in response to said input data and ideal
data which are required to be obtained in response to said
input data.
The examiner relies on the following references:
Kawai et al. (Kawai) 5,339,365 Aug. 16, 1994
Ikeuchi 5,608,819 Mar. 04, 1997
(filed May 18, 1994)
Claim 9 stands rejected under 35 U.S.C. § 102(e) as
being anticipated by the disclosure of Ikeuchi. Claims 6-8
stand rejected under 35 U.S.C. § 103 as being unpatentable
over the teachings of Ikeuchi in view of Kawai.
Rather than repeat the arguments of appellant or the
examiner, we make reference to the briefs and the answer for
the respective details thereof.
OPINION
We have carefully considered the subject matter on
appeal, the rejections advanced by the examiner and the
evidence of anticipation and obviousness relied upon by the
examiner as support for the rejections. We have, likewise,
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