A vector quantisation reduction method for the probabilistic neural network

This paper introduces a vector quantisation method to reduce the probabilistic neural network classifier size. It has been derived from the modified probabilistic neural network which was developed as a general regression technique but can also be used for classification. It is a very practical and easy to implement method requiring a very low level of computation. The method is described and demonstrated using 4 different sets of classification data.