Comparison of a neural network and a piecewise linear classifier

Abstract

A neural algorithm proposed by Kohonen is used to design a neural classifier. We use the algorithm to classify a real multiple-class data set obtained from ship images and compare the results with the results of the piecewise linear classifier. The error performance of the neural classifier is slightly better than the piecewise linear classifier, however the training algorithm is much simplier and easier to implement.