TSUMURA Norimichi1), ITOH Kazuyoshi1), ICHIOKA
Yoshiki1)
1) Osaka University, Department of Applied
Physics, Yamadaoka 2?1, Suita, 565 Japan
Optical Review 1(1994) 41-43
Abstract
A new artificial neural network that can
reject strange patterns is presented. The
new network is an improved version of the
RCE network. Each cell in the last layer
of the present network has two thresholds.
The new threshold produces the smallest boundary
that encloses all examples associated with
the cell in the pattern vector space. The
present network can reject strange patterns
by using this boundary. The rejection of
strange patterns in the present and RCE networks
was investigated by practical experiments
using digits sampled from X-ray films of
the human chest.
Full paper
[Reprint]