N. Tsumura, K. Itoh, Y. Ichioka
Osaka University
Pattern Recognition 28,10, (1995)1621-1626.
Abstract
A new hyperspherical classifier that performs
reliable classification is presented. The
new classifier was inspired by the RCE network.
The present classifier has two important
features; (1) cells in the last layer of
the two-layers architecture have two thresholds,
and (2) weight vectors are modified according
to training patterns. The two thresholds
produce double hyperspheres in the pattern
vector space. The double hayperspheres determine
regions of rejection. patterns in these regions
are rejected and not classifier in any classes.
The weight vectors are optimized by modification.
Results of practical experiments are presented
to compare the reliability oh the new classifier
with that of the RCE networks.
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