Experiments were done by Jurgen Frank for the
polynomial classifier approach. There are three
classifiers; the first one is simple and linear. It was
efficiently built and successfully tested for the purpose
of obtaining a reference point for different data set.
Accordingly, the performance is improved by depending
on several sophisticated polynomial structures. The
second classifier comprises the effects of extracting the
feature which are demonstrated with the Karhunce-loeve
transformation and some results iterative learning were
mentioned to be provided. The third classifier comprises
the fixed classifier approach for various structure kinds
of the classifier system on the same data set. As a result,
the performance effects were demonstrated, the efforts
and supporting of these different systems in the training
and testing stage are shown in[