Appeal No. 1996-2480
Application 08/163,825
domain layer of the neural network. The function of the
difference nodes is to partition the input space by defining
the domain of each linear separation, or each facet. In
particular, the difference nodes 164 transform the input
vector to the localized domain defined by the difference
nodes 164. Minimum node 170 identifies a
transforming difference node from the difference nodes 170.
The transforming difference node is the difference node defin-
ing the vornoi cell in which the input vector to be classified
lies. Perceptron layer 166 comprises a plurality of
perceptrons, each perceptron assigned to a particular domain.
Each perceptron takes as its input the difference vector
output from its corresponding difference node. The output
layer 168 receives the output from the perceptron node 166
and outputs a class designator for the input vector.
Independent claim 1 is reproduced as follows:
1. A classification neural network for classifying
input patterns, said classification neural network comprising:
an input node for receiving said input patterns;
3
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