Theoretical and Experimental Investigations in Trainable Pattern-Classifying Systems

Abstract

Motivation is given for the use of various trainable pattern-classifying structures called linear and piecewise linear (PWL) machines. The results of various experiments in training are presented. Two different types of training methods were investigated: mode-seeking and error -correction methods.