
212 Chapter 7 ConneCtionist Models
For example, in character recognition, to verify whether a given pattern
is character “X” or some other character is an easy classification problem.
The basic principle is to recognize and classify given patterns to much fewer
groups of patterns. The latter will be the output of the network for this type
of application. The network can be trained using sample patterns and their
correct answers. When the network is well trained, it gives correct answers
for not only the sample patterns, but also for new similar patterns. As men-
tioned, the input can be of any form, not just a visual image.
We have to consider ...