Appeal No. 97-0507
Application 08/202,609
iterations to reach a learned or trained state, as recited in the
second clause of the body of claim 25 on appeal. Indeed, this
portion of claim 25 is based upon appellants’ specification
statement at the top of page 8 that for the backpropagation
chosen in the disclosed invention “the well known Delta Rule is
used for weight adjustment during learning.” This same rule is
discussed at col. 7, beginning at line 31 of McCormack as
referenced by the examiner in the answer. We also observe that
aeromagnetic data has been recognized by appellants’ statement of
the prior art of the invention at page 1 and 2 of the
specification as filed to have existed in the prior art.
The program means (second) clause of the body of claim 25
relating to the training operation of the programmed computer
utilized to simulate a neural network (first clause of the body
of claim 25) is stated to repetitively input representative
aeromagnetic data above the surface of the earth over known depth
to basement rock regions. This says nothing more than a neural
network needs to be trained for processing new data based upon
known data. Both references teach this and also teach that the
weighting functions of the neural network itself are adjusted, as
claimed, during this training operation.
6
Page: Previous 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Next
Last modified: November 3, 2007